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. 2021 Mar 4;16(3):e0246319. doi: 10.1371/journal.pone.0246319

In vitro study of Hesperetin and Hesperidin as inhibitors of zika and chikungunya virus proteases

Raphael J Eberle 1,2,*,#, Danilo S Olivier 3, Carolina C Pacca 4,5, Clarita M S Avilla 4, Mauricio L Nogueira 6, Marcos S Amaral 7, Dieter Willbold 2,8,9, Raghuvir K Arni 1, Monika A Coronado 1,2,*,#
Editor: Bryan Mounce10
PMCID: PMC7932080  PMID: 33661906

Abstract

The potential outcome of flavivirus and alphavirus co-infections is worrisome due to the development of severe diseases. Hundreds of millions of people worldwide live under the risk of infections caused by viruses like chikungunya virus (CHIKV, genus Alphavirus), dengue virus (DENV, genus Flavivirus), and zika virus (ZIKV, genus Flavivirus). So far, neither any drug exists against the infection by a single virus, nor against co-infection. The results described in our study demonstrate the inhibitory potential of two flavonoids derived from citrus plants: Hesperetin (HST) against NS2B/NS3pro of ZIKV and nsP2pro of CHIKV and, Hesperidin (HSD) against nsP2pro of CHIKV. The flavonoids are noncompetitive inhibitors and the determined IC50 values are in low µM range for HST against ZIKV NS2B/NS3pro (12.6 ± 1.3 µM) and against CHIKV nsP2pro (2.5 ± 0.4 µM). The IC50 for HSD against CHIKV nsP2pro was 7.1 ± 1.1 µM. The calculated ligand efficiencies for HST were > 0.3, which reflect its potential to be used as a lead compound. Docking and molecular dynamics simulations display the effect of HST and HSD on the protease 3D models of CHIKV and ZIKV. Conformational changes after ligand binding and their effect on the substrate-binding pocket of the proteases were investigated. Additionally, MTT assays demonstrated a very low cytotoxicity of both the molecules. Based on our results, we assume that HST comprise a chemical structure that serves as a starting point molecule to develop a potent inhibitor to combat CHIKV and ZIKV co-infections by inhibiting the virus proteases.

Introduction

Environmental, climatic and ecological changes create niches that support and stimulate the proliferation of arthropod-borne viruses in warmer developing countries [1]. Low investment in fragile health care systems and lack of potent antiviral drugs [2] make it difficult to control the spread of infectious diseases [24]. Due to these reasons, 390 million dengue virus (DENV) infections are reported annually and 128 countries are at risk of DENV infection [2, 5]. Recent epidemics due to chikungunya virus (CHIKV) and zika virus (ZIKV) affected millions of people in the Americas [69].

Aedes aegypti mosquitoes, which are prevalent over large geographical areas across different countries, are the prime vectors involved in the transmission of CHIKV (genus Alphavirus), DENV and ZIKV (genus Flavivirus) to humans. A. aegypti together with A. albopictus, also a more widely distributed mosquito, continue to emerge in new regions, due to climate change [1012]. In fact, many regions in the Americas, e.g. Nicaragua, Costa Rica, Colombia, and Brazil, have recently experienced simultaneous outbreaks of CHIKV, DENV and ZIKV infections [6, 13, 14] (Fig 1A and 1B).

Fig 1. Reported cumulative cases of CHIKV, DENV and ZIKV from 2015 to 2019 in the Americas and Brazil.

Fig 1

Based on PAHO and WHO (PAHO/WHO, 2020) [15]. ZIKV infections colored in blue, DENV in orange and CHIKV in green. A: Confirmed ZIKV, DENV and CHIKV cases in the Americas from 2015 to 2019. B: Confirmed ZIKV, DENV and CHIKV cases in Brazil from 2015 to 2019. C: Confirmed ZIKV, DENV and CHIKV cases in Brazil 2016. D: Confirmed ZIKV, DENV and CHIKV cases in Brazil 2017.

Simultaneous infections by two or all of these viruses have been reported [1621]. Considering only the clinical manifestation, ZIKV, CHIKV and DENV infections can show similar clinical signs, making it difficult to identify the causative virus for the symptoms [22]. A recent study in Nicaragua demonstrated that 27% of the tested patients were positive for a co-infection with two viruses or all the three viruses described here [22].

The presence of CHIKV, DENV and ZIKV (Fig 1C and 1D) in Brazilian patients between 2016 and 2017 exhibited high incidences of simultaneous infections, and the co-infection caused by CHIKV, DENV, and ZIKV are alarming because of the development of secondary clinical conditions. ZIKV can be transmitted from a pregnant woman to her fetus that can cause a birth defect, for example, microcephaly [22]. Infections caused by CHIKV can induce chronic arthritis and cognitive disorders [8] together with indistinguishable febrile illness, including headaches, nausea, myalgia arthralgia, and rash [14]. Simultaneous transmission and co- infection of ZIKV and CHIKV is a concern in the Americas, because both the viruses co-circulate in the same geographical regions [1621]. To control co-infections, it is vital to identify molecules with the potential to inhibit proteins that are essential for replication process of the viruses. Hence, the non-structural (NS) viral proteins are attractive targets for the development of drug-like molecules [23]. ZIKV contain seven NS proteins, NS1, NS2A, NS2B, NS3, NS4A, NS4B and NS5. The virus polyprotein is co- and post-translationally cleaved by the viral protease NS3 [24], which requires the NS2B cofactor for optimal enzymatic activity [25]. The NS2B/NS3, a serine protease (NS2B/NS3pro), is essential for virus replication, making it an ideal target for drug development [26, 27]. CHIKV contain a cysteine protease (nsP2pro), that have same vital functions as NS2B/NS3pro (ZIKV) in the virus replication process, which together with other non-structural proteins (nsP1, nsP3 and, nsP4), form the nonstructural polyprotein precursor [28].

Currently, neither any appropriate antiviral treatment for CHIKV and/or ZIKV infection is available, nor for treatment of co-infections caused by these viruses. Though, previous studies describe different classes of compounds with inhibitory potential against one of the aforementioned viruses, but none are available against both (S1 Table). Several of these compounds are botanical products [2933], which are an attractive source in the search for novel drug candidates. Natural products form a large reservoir of bioactive compounds that can be considered as candidate for drug development [34]. Flavonoids, a huge group of polyphenolic compounds found ubiquitously in plants, exhibit a wide variety of biological effect such as anti-inflammatory, antioxidant, antiviral, antibacterial, cardiovascular and chemo preventive activities [35]. HSD (3’,5,7-trihydroxy-4’-methoxy-flavanone-7-rhamnoglucoside) is a member of the flavanone group, a type of flavonoids, which is mainly isolated from citrus fruits. HSD is known to be partly deglycosylated in the human gut by the intestinal microbiota to its aglycone form HST (3’,5,7-trihydroxy-4’-methoxyflavanone) [36]. Both flavonoids possess several pharmacological properties, e.g. antioxidant, anti-inflammatory and neuroprotective [37, 38]. Additionally, HSD and HST have been reported to inhibit intracellular replication of CHIKV [29]. Vander dos Santos and collaborators described inhibition of serine proteases by HST, isolated from snake venom [39], thereby demonstrating possible inhibitory potential of these molecules against different proteases.

Our study describes new aspects concerning the inhibitory effect of HST and HSD against the proteases (NS2B/NS3 and nsP2) involved in the replication process of ZIKV and CHIKV. HST inhibited both proteases with IC50 values in the low µM range. HSD showed only a weak inhibitory effect against ZIKV NS2B/NS3pro, which is in agreement with the results described by Lim et al. 2017 [40], however, it significantly inhibited nsP2pro of CHIKV. Activity tests in combination with molecular docking and MD simulations of HST and HSD in complex with the proteases, demonstrated a possible inhibition mode of the molecules. Furthermore, MTT assays of both molecules (concentration of up to 300 µM) demonstrated a low cytotoxicity against Vero cells. The 50% cytotoxic concentration was not reached, and even if the plaque reduction assays showed no antiviral effect of HST and HSD against both viruses, our results demonstrate the potential of HST to serve as lead molecule against virus proteases.

Material and methods

Cloning, expression and purification of virus proteases

ZIKV NS2B/NS3pro

ZIKV NS2B/NS3pro (GenBank Protein Accession number KU729217.2, Brazilian isolate BeH823339) was cloned, expressed and purified as described previously [41].

CHIKV nsP2pro

The DNA fragment encoding CHIKV nsP2pro (residues 466–798) containing the N-terminal cysteine protease domain and the C-terminal SAM-dependent methyltransferase domain (GenBank Protein Accession number AAN05101.1, strain S27-African prototype) was synthesized (BioCat GmbH, Heidelberg, Germany) and implemented in the kanamycin resistant vector pET-24a (+). The construct contained an N-terminal hexahistidine affinity tag and a TEV protease cleavage site (ENLYFQG).

E.coli (DE3) T1 strain (Sigma-Aldrich, USA) was transformed using pET-24a (+)-nsP2pro plasmid. LB medium supplemented with 50 μg/ml kanamycin was used for inoculation of E.coli (DE3) T1 containing pET-24a (+)-nsP2pro. The expression culture was grown at 37°C to an optical density of 0.6 at 600 nm (OD600). The temperature was then reduced to 18°C and 0.2 mM IPTG was added for induction and the culture was grown for ~12 h. The bacterial cells were harvested by centrifugation 5,000 rpm at 5°C and cell pellets were stored at −20°C for further use.

For purification, the cell pellet was resuspended in ice cold lysis buffer containing 50 mM Tris-HCl, 500 mM KCl, 10% (v/v) glycerol at pH 7.5 and a protease inhibitor cocktail (Roche, Switzerland). The cell-suspension was incubated on ice for 1 h with lysozyme and was subsequently lysed by sonication in four pulses of 30 s each and amplitude of 30% interspersed with intervals of 10 s. The crude cell extract obtained was centrifuged at 8,000 rpm for 90 min at 6°C (Sorvall RC-5B Plus Superspeed Centrifuge, Thermo Fisher Scientific, GSA rotor). The supernatant was loaded on a Ni-NTA column pre-equilibrated with 50 mM Tris-HCl, 500 mM KCl; 10% (v/v) glycerol at pH 7.5 and extensively washed with the same buffer containing 0, 10 and 20 mM imidazole. The protein was eluted by imidazole concentrations between 50 and 500 mM. Sample purity was determined by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE). The nsP2pro protein containing fractions were pooled and concentrated using an Amicon Ultra-15 concentrator with a cutoff of ~10 kDa and the partially purified nsP2pro sample was loaded onto a Superdex 75 HR 10/30 size exclusion column (GE Healthcare, USA), pre-equilibrated with 20 mM Tris-HCl, 150 mM NaCl, 5% (v/v) glycerol, at pH 7.5.

Inhibition assay of virus proteases

ZIKV NS2B/NS3pro

Inhibition of Zika virus NS2B/NS3pro activity by HST (Sigma Aldrich, USA, purity > 95%) and HSD (Sigma Aldrich, USA, purity > 97%) was studied using the assay described previously [4143]. Activity of the protein was evaluated using a fluorogenic substrate (Pyr‐Arg‐Thr‐Lys‐Arg‐AMC; BACHEM, Bubendorf, Switzerland). The assay was performed in buffer containing 20 mM Tris-HCL, pH 8.5, 10% glycerol, 0.01% Triton X-100. Three nM of protein was incubated with 0–140 µM HST (Sigma-Aldrich, USA) for 1h at RT in the absence of light. The reaction mixture was pipetted into a Corning 96-Well plate (Sigma-Aldrich, USA). When the substrate with a final concentration of 20 µM was added to the mixture, the fluorescence intensities were measured at 60 s intervals over 10 minutes using an Infinite 200 PRO plate reader (Tecan, Männedorf, Switzerland). The temperature was set to 37°C, and the excitation and emission wavelengths were 380 nm and 460 nm, respectively.

Activity and inhibition of both investigated proteases was calculated using Eq (1)

%proteaseactivity:(Intensityofenzymeactivityintensityleftafterinhibition)/Intensityofenzymeactivity (1)

All inhibition assays (ZIKV NS2B/NS3pro and CHIKV nsP2pro) were performed as triplicates and the results are shown as mean ± standard deviation (SD). Each experiment was performed with fresh purified protein. To determine the half-maximal inhibitory concentration (IC50), a dose-response curve was plotted and the IC50 determination was based on nonlinear regression [41, 44].

CHIKV nsP2pro

The protease activity of CHIKV nsP2pro was measured by a FRET-based assay [45] using the commercially synthesized fluorogenic peptide DABCYL-Arg-Ala-Gly-Gly-↓Tyr-Ile-Phe-Ser-EDANS (BACHEM, Bubendorf, Switzerland). This substrate peptide consists of eight amino acids derived from the cleavage site present between non-structural proteins nsP3-nsP4 of CHIKV. The enzymatic reactions of CHIKV nsP2pro were performed in a Corning 96-Well plate having 100 μl reaction volume in 20 mM Bis-Tris-Propane, pH 7.5 as assay buffer. For the investigation of CHIKV nsP2pro inhibition, HST and HSD (Sigma-Aldrich, USA) were tested. 0.5 mM stock solutions of the ligand were prepared by dissolving them in sterile 100% DMSO (Sigma-Aldrich, USA). The final concentrations of inhibitors required were obtained by dilution in the assay reaction buffer. The concentrations of DMSO in the final reaction did not exceed 1.0% (v/v). CHIKV nsP2pro inhibition assay was performed in vitro using purified CHIKV nsP2pro pre-incubated with different inhibitor concentrations. Thus, one µM of the protein was incubated with 0–30 µM HST or 0–45 µM HSD for 1h at RT in absence of light. The reaction mixture was pipetted in a Corning 96-Well plate (Sigma Aldrich). When the substrate with a final concentration of 3 µM was added to the mixture, the fluorescence intensities were measured at 60 s intervals over 60 minutes using an Infinite 200 PRO plate reader (Tecan, Männedorf, Switzerland). The temperature was set to 25°C. The excitation and emission wavelengths were 340 nm and 490 nm, respectively.

Determination of inhibition mode

The inhibition assay was used to determine the inhibition mode of the tested ligands for each virus protease. Three nM ZIKV NS2B/Ns3pro was pre-incubated with the inhibitor at different concentrations for 60 min at RT (HST: 0–5 µM). Subsequently, the reaction was initiated by addition of the corresponding concentration series of the substrate (0–50 µM in 5 µM steps).

CHIKV nsP2pro at one µM was pre-incubated with the inhibitor at different concentrations for 60 min at RT (HST: 0–5 µM and HSD: 0–20 µM). Subsequently, the reaction was initiated by addition of the corresponding concentration series of the substrate (0, 0.2, 0.4, 0.8, 1.0 and 2.0 µM). All measurements were performed in triplicate and data are presented as mean ± SD. The data analysis was performed using a Lineweaver-Burk plot, therefore the reciprocal of velocity (1/V) vs the reciprocal of the substrate concentration (1/[S]) was compared [46, 47].

Determination of ligand efficiency

To determine the ligand efficiency for HST and HSD the formula (2) was used [48]:

(1.4*pIC50)/N (2)

while pIC50 was obtained from an online tool [49] and N is the number of all atoms exception hydrogen.

Fluorescence spectroscopy

The intrinsic Trp fluorescence was measured with a QuantaMaster40 spectrofluorometer (PTI, Birmingham, USA) using 3 mm path length quartz cuvettes (105.253-QS, Hellma, Mühlheim, Germany). All spectra were corrected for background intensities by subtracting the spectra of pure solvent measured under identical conditions. Both excitation and emission bandwidths were set at 8.0 nm. The excitation wavelength at 295 nm was chosen since it provides no excitation of tyrosine residues. The emission spectrum was collected in the range of 300–500 nm with the increment of 1 nm. Each point on the emission spectrum is the average of 10 accumulations. The tested virus protease solutions (ZIKV NS2B/NS3pro, and CHIKV nsP2pro) had concentrations of 5 μM and the measuring volume was 50 µl. The buffer of the experiment contained 25 mM Tris-HCL, pH 8.5, 150 mM NaCl and 5% glycerol.

During the investigation of the ligands interaction with the target, the protein solution within the cuvette was titrated stepwise with a ligand stock solution (0.5 mM ligand + 10 μM protein), ZIKV NS2B/NS3pro-HST (0–150 µM), ZIKV NS2B/NS3pro-HSD (0–150 µM), CHIKV nsP2pro-HST (0–206 µM) and CHIKV nsP2pro-HSD (0–206 µM) and after each titration, a measurement was conducted. The quenching of the protease fluorescence, ΔF (Fmax-F), at 330 nm of each titration point was used for fitting a saturation binding curve using a nonlinear least-squares fit procedure which has been discussed in detail elsewhere [50], based on Eq (3) [51]:

Y=Bmax[Q]/KD+[Q] (3)

where, [Q] is the ligand concentration in solution, acting as a quencher, y is the specific binding derived by measuring fluorescence intensity, Bmax is the maximum amount of the complex protease-ligand at saturation of the ligand and KD is the equilibrium dissociation constant. The fluorescence intensity maximum is plotted against the ligand concentration.

To determine the KD value, the data were fitted with a modified Hill equation obtaining the following relation (4) [52, 53]:

Log(FFmin)/(F)=mlogKD+nlog[Q] (4)

where, Fmin is the minimal fluorescence intensity in the presence of the ligand, KD is the equilibrium constant for the protein-ligand complex. The “binding constant” K is defined as the reciprocal of KD, m is the Hill’s coefficient and n is the number of occupied binding sites. The fitted data is plotted against the Log of the ligand concentration and the intersection with the x-axis correspond to the KD value. The two Eqs (3) and (4) were used independently to determine the KD values.

The measurement of thermal unfolding of the proteases with and without the ligands was performed in the range of 20–85°C with increments of 5°C. Before the experiments started 10 µM of the protease was incubated with 75 µM of the corresponding ligand for 30 minutes at room temperature. The native protein fraction (fN) was calculated according to the following Eq (5):

fN=(FFU)/(FNFU) (5)

where, F, FN and FU are the steady-state fluorescence intensities of Trp at each temperature investigated, at the first (native protein) and the last (unfolded protein) temperature, respectively. The unfolded protein fraction can be calculated as follows: fU = 1 − fN. The temperature at which fN = fU is called melting temperature or transition midpoint (Tm). A one-step denaturation process was assumed.

Cell lines and viruses

Vero cells (Cercopithecus aethiops kidney normal; ATCC CCL-81) were maintained in Eagle’s Minimum Essential Medium (MEM; Sigma-Aldrich) supplemented with 100 U/mL of penicillin (Hyclone Laboratories, United States), 100 mg/mL of streptomycin (Hyclone Laboratories, United States), and 1% of fetal bovine serum (FBS; Hyclone Laboratories, United States) in a humidified 5% CO2 incubator at 37°C.

A low passage of ZIKVBR58 [54] and CHIKV from a viremic Brazilian patient were used for the antiviral assay. To determine viral titer, 5 × 105 Vero cells were seeded in each well of a 24 well plate 24 h prior to the infection. Then, the cells were infected with 10-fold serially dilutions of CHIKV or ZIKV for 1 h at 37°C. The virus inoculum was removed, following the addition of an overlay media containing 1.5% w/v carboxymethylcellulose (Synth, São Paulo, Brazil) in 1% FBS v/v MEM. Infected cells were incubated for three days in a humidified 5% CO2 incubator at 37°C, followed by fixation with 4% formaldehyde and stained with 0.5% violet crystal. The viral plaques were counted to determine virus titer. Results were expressed as PFU/mL.

Cell viability through MTT assay

Cell viability was measured by MTT [3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide] (Sigma-Aldrich) assay. Vero cells at the density of 104 were cultured in each well of 96 well plates and treated with different concentrations (2.3 µM– 300 µM) of each molecule at 37°C with 5% of CO2. DMSO was used as vehicle control. 48 h post treatment, compound-containing media was removed and MTT solution at 1 mg/mL was added to each well, incubated for 1 h and replaced with 100 μL of DMSO (dimethyl sulfoxide) to solubilize the formazan crystals. The absorbance was measured at 560 nm on Glomax microplate reader (Promega). Cell viability was calculated according to Eq (6):

(T/C)×100% (6)

in which T and C represented the optical density of the treated well and control groups, respectively. The MTT assays for HST and HSD were performed as triplicates and the results are shown as mean ± SD.

Antiviral assay

The antiviral assay was performed in 24-well plates with 80,000 Vero E6 cells/well, using a fixed virus inoculum (~50 PFU), following overlay with MEM +1% carboxymethylcellulose (CMC) with or without molecules. Cells were incubated for three days at 37°C in a humidified atmosphere with 5% CO2. After incubation, overlay medium was removed and the cells were fixed and stained with Crystal Violet. Lysis plaques were counted and compared with non-infected and virus-infected controls. The antiviral assays for HST and HSD were performed as triplicates and the results are shown as mean ± SD.

Statistical analysis

All experiments underwent at least three independent repetitions and all data are expressed as the means ± the standard deviations (SDs). The statistical significances of the differences in the mean values were assessed with one-way analyses of variance (ANOVA), followed by Tukey’s multiple comparison test. Significant differences were considered at p < 0.05 (*), p < 0.01 (**) and p < 0.001 (***). All statistical analyses were performed with GraphPad Prism software version 5 (San Diego, CA, USA).

Docking and molecular dynamics simulation

Docking calculation was performed for the proteins-ligands complex using AutoDock Vina 1.1.12 [55]. The AutoDockTools program [56] was used to add polar hydrogens and partial charges to the proteins and to set the rotational bonds of the ligands. Search space was defined using a grid near the protease active site. Several poses for the protein-ligand were ranked according to the scoring function of Autodock Vina. The selected protein-ligand complex was used to start MD simulations.

MD simulations were performed using Amber18 [57] software package. To describe all-atom protein interactions, the FF14SB [58] force field was applied, while the ligands were described using the GAFF and RESP charges. The structures of the proteins were obtained from the PDB database: ZIKV (PDB entry: 5LC0) and CHIKV (PDB entry: 3TRK). The initial protonation state for the amino acids side chain of the proteins were settled using H++ web server [59] at pH 7.5. The systems were neutralized using Cl- or Na+ ions and placed in an octahedral box with TIP3P water extended 10 Å away from the protein. Bad contacts in the initial structure were removed in two steps of energy minimization. The complex (protein-ligand) was constrained and the force constant of 50.0 kcal/mol-Å2 were performed for 5000 steps of steepest descent followed by 5000 conjugate gradient steps. Subsequently, 10000 steps of an unconstrained energy minimization, afterward, the systems were heated from 0 to 298 k under constant atom number, volume and temperature (NVT) ensemble, while the protein-ligand complex was restrained with constant force of 10 kcal/mol.Å2. Subsequently, the equilibration step was performed using the constant atom number, pressure and temperature (NPT) ensemble for 500 ps and the simulation was performed for 200 ns with 2 fs time step. The constant temperature (298 K) and pressure (1 atm) were controlled by Langevin coupling. Particle-Mesh Ewald method (PME) was utilized to compute the long-range electrostatic interactions and the cut-off distance of 10 Å was attributed to Van der Waals interactions [60].

Molecular dynamics analyses

The results of the MD simulations were analyzed using CPPTRAJ program [61] of the AmberTools18 package. The root mean square deviations (RMSD) were used to determine equilibration of the systems and convergence of the simulations. Protein flexibility was studied by root mean square fluctuation (RMSF) of the Cα atoms, where RMSF were calculated residue-by-residue over the equilibrated trajectories. Radius of Gyration (RoG) and surface area were calculated to assess major structural changes in the protein. The interaction energy was calculated using the generalized Born (GB)-Neck2 [62] implicit solvent model (igb = 8). Molecular mechanics/generalized Born surface area (MM/GBSA) energy was calculated between the protein and the ligand in the stable regime comprising the last 10 ns of the MD simulation stripping all the solvent and ions.

Results and discussion

NS2B/NS3 (ZIKV) and nsP2 (CHIKV) proteases are well characterized; both biochemically and structurally and their several specific inhibitors have been previously reported. In this study, we investigated the anti-ZIKV activity of two related compounds derived from citric fruit. These compounds are called Hesperedin (HSD) and its aglycone form Hesperitin (HST), which have been described as antioxidant and anti-inflammatory agents. Both compounds exhibited antiviral activity against CHIKV protease while the aglycone form was able to inhibit the protease activity of ZIKV.

Preparation of ZIKV NS2B/NS3pro and CHIKV nsP2pro

ZIKV NS2B/NS3pro and CHIKV nsP2pro were expressed in E. coli T1 (DE3) cells and purified using Ni-NTA. The relevant protein fractions were concentrated and applied onto a Superdex 200 10/300 GL size exclusion chromatography column (GE Healthcare) in order to remove E.coli contamination and aggregated protein species and the purity of the proteases was checked by SDS-PAGE 15% (S1 and S2 Figs, respectively).

Inhibitory potential of HST and HSD against zika and chikungunya virus proteases

The increased presence of flavivirus and alphavirus in co-infections and due to lack of appropriate medications to combat such infections makes it necessary to identify inhibitors or lead compounds that can control and prevent these co-infections.

In this context, the inhibitory effect of HST and HSD (20 µM) was tested against NS2B/NS3pro of ZIKV and against nsP2pro of CHIKV. A reduction in the enzymatic activity of the tested proteases by HST was observed. HSD showed a strong inhibitory effect on CHIKV nsP2pro (Fig 2) while a low effect against ZIKV NS2B/NS3pro, hat agrees with the results described previously [40].

Fig 2. Preliminary inhibition test of HST and HSD against ZIKV NS2BNS3pro and CHIKV nsP2pro.

Fig 2

The tested compound concentration was 20 µM. HST inhibit ZIKV NS2B/NS3pro activity about 40% and CHIKV nsP2pro about 90%. The inhibition of CHIKV protease activity by HSD was higher than 60%. Contrary, HSD shows not relevant inhibition against ZIKV NS2B/NS3pro. Data shown are the means ± SD from three independent measurements (n = 3). Asterisks mean that the data differs from the control (0 µM inhibitor) significantly at p < 0.01 (**) and p< 0.001 (***), level according to ANOVA and Tukey’s test.

Based on these results, further experiments using different concentrations of HST and HSD were performed. HST has been tested against ZIKV NS2B/NS3pro (0–140 µM) (Fig 3A) and both the molecules were tested against nsP2pro of CHIKV at concentration ranges of 0–30 µM (HST) and 0–45 µM (HSD) (Fig 4A and 4C). The titration of the inhibitors demonstrated the inhibitory strength of the compounds and were comparable, even at low inhibitor concentrations. The HST and HSD titration data was used to determine the half-maximal inhibitory concentration (IC50) (S3 Fig) of each protease. The results are summarized in Table 1.

Fig 3. Inhibition effect and inhibition mode of HST on ZIKV NS2B/NS3pro.

Fig 3

Chemical structure of HST and HSD (structural formula) and ZIKV NS2B/NS3pro 3D experimental model (PDB entry: 5LC0) are shown. NS3pro is represented in gray and NS2B in blue. Normalized activity and inhibition of the virus proteases and Lineweaver-Burk plots to determine the inhibition mode is presented: [S] is the substrate concentration; v is the initial reaction rate. The data shown are the means ± SD from three independent measurements (n = 3). A: Normalized activity and inhibition of ZIKV NS2B/NS3pro under HST influence. B: Lineweaver-Burk plot for HST inhibition of ZIKV NS2B/NS3pro.

Fig 4. Inhibition effect and inhibition mode of HST and HSD on CHIKV nsP2pro.

Fig 4

Chemical structures of HST and HSD (structural formula) and CHIKV nsP2pro 3D experimental model (PDB code: 3TRK) are shown. CHIKV nsP2 protease domain is presented in pink and the methyltransferase domain in cyan. Normalized activity and inhibition of the virus protease and Lineweaver-Burk plots to determine the inhibition mode is presented: [S] is the substrate concentration; v is the initial reaction rate. The data shown are the means ± SD from three independent measurements (n = 3). A and C: Normalized activity and inhibition of CHIKV nsP2pro under HST and HSD influence, respectively. B and D: Lineweaver-Burk plot for HST and HSD inhibition of CHIKV nsP2pro, respectively.

Table 1. Results summarize HST and HSD inhibition experiments of ZIKV NS2B/NS3pro, and CHIKV nsP2pro.

Molecule IC50a Inhibition mode pIC50b LEc Nd LogPe
ZIKV NS2B/NS3pro HST 12.6 ± 1.3 noncompetitive 4.9 0.31 22 2.6
* [46] Myricetin 1.3 ± 0.1 noncompetitive
Quercetin 2.4 ± 0.2 noncompetitive
Luteolin 2.7 ± 0.3 noncompetitive
Isorhamnetin 15.5 ± 0.7 noncompetitive
Apigenin 56.3 ± 0.9 noncompetitive
Curcumin 3.5 ± 0.2 noncompetitive
CHIKV nsP2pro HST 2.5 ± 0.4 noncompetitive 5.6 0.36 22 2.6
HSD 7.1 ± 1.1 noncompetitive 5.2 0.17 43 -0.3
** [63] Pep-I 34 noncompetitive
Pep-II 42 -
*** [64] Novobiocin 2 -
Telmisartan 5 -

aIC50 value in µM.

bLogarithm of IC50 value (pIC50).

cLigand efficiency (LE).

dNumber of non-hydrogen atoms (N).

eInformation about hydrophobicity of the molecule (A negative value for logP means that the compound has a higher affinity for the aqueous phase (it is more hydrophilic). When LogP = 0 the compound is equally partitioned between the lipid and aqueous phases; a positive value for LogP denotes a higher concentration in the lipid phase (i.e., the compound is more lipophilic).

To determine the inhibition mode of HST on ZIKV NS2B/NS3pro, kinetic experiments were performed (Fig 3B). The maximum rate (Vmax) values for the ZIKV protease activity decreased in the presence of different concentrations of HST. On the other hand, the Michaelis constant (Km) values are unaffected. These relationships between Vmax and Km indicate a noncompetitive inhibition according to classical Michaelis-Menten kinetics.

HST and HSD showed a noncompetitive inhibition against CHIKV nsP2pro (Fig 4B and 4D) demonstrating the same inhibition mode as for ZIKV NS2B/NS3pro.

The IC50 value of HST demonstrated a potential inhibitory effect against ZIKV and CHIKV proteases. Additionally, HSD showed a strong inhibitory activity against CHIKV nsP2pro but not against ZIKV NS2B/NS3pro.

Roy and collaborators (2017) identified five flavonoids (Myricetin, Quercetin, Isorhamnetin, Luteolin, Apigenin and Curcumin) that inhibit ZIKV NS2B/NS3pro activity in a noncompetitive mode [46], and we have demonstrated for HST. The calculated IC50 values for the five flavonoids are shown in Table 1 and we have demonstrated that the IC50 value for HST was in the same range as that of other flavonoids.

Singh and collaborators (2018) showed IC50 values of 40 µM for two peptides studied against CHIKV nsP2 protease, designated as Pep-I and Pep-II [63]. However, HST and HSD were consistently more effective in inhibiting the same protease with IC50 values of 2.5 ± 0.4 (HST) and 7.1 ± 1.1 (HSD), thereby demonstrating the efficiency like other flavonoid molecules to inhibit the enzyme activity. On the other hand, our IC50 values are in a comparable range to Novobiocin and Telmisartan with 2 and 5 µM, respectively (Table 1) [64].

To get more information on the promising inhibitors and to compare them to the already determined inhibitors, we calculated ligand efficiency values of HST and HSD. The ligand efficiency (LE) was determined to validate the ratio of the ligand binding affinity versus the number of non-hydrogen atoms (N) of both compounds (Table 1). For HST, the smaller molecule, the efficiency value was > 0.30. The identified LE values of HST showed it to be an efficient binder [48], demonstrating its potential to be used as a lead compound for further development as a broad-spectrum drug to combat ZIKV and CHIKV infections. In contrast, LE for HSD are under the threshold for the method, dependency on ligand size have been observed in the literature [65]. Chemical modification of HST and HSD could improve the inhibitor efficiency.

Flavivirus and alphavirus protease interaction studies with HST and HSD using fluorescence spectroscopy

For the investigation of the molecular interaction with the proteases, intrinsic tryptophan (Trp) fluorescence was measured. Based on the quenching of the proteases fluorescence at each titration point, dissociation constant (KD) could be determined for HST- and HSD- with the target proteins (S4 and S5 Figs). The calculated KD values are summarized in Table 2.

Table 2. Results summary of the fluorescence spectroscopy experiments of ZIKV NS2B/NS3pro and CHIKV nsP2pro with HST and HSD.

Molecule KDa ΔTmb
ZIKV NS2B/NS3pro HST 17.8 ± 2.9 6
CHIKV nsP2pro HST 31.6 ± 2.5 8
HSD 40.7 ± 2.0 5

aKD value ± STD in µM.

bΔTm in °C.

HST showed an acceptable affinity, for lead molecule, for the interaction with the ZIKV protease (17.8 ± 2.9 µM). In contrast, the KD value of CHIKV nsP2pro-HST increased approx. two folds, 31.6 ± 2.5 µM, which revealed a lower affinity and the lowest interaction, was observed for CHIKV nsP2pro-HSD with 40.7 ± 2.0 µM.

The thermal denaturation of ZIKV NS2B/NS3pro, ZIKV NS2B/NS3pro-HST, CHIKV nsP2pro, CHIKV nsP2pro-HST, and CHIKV nsP2pro-HSD was studied by fluorescence spectroscopy (S6 and S7 Figs). The highest change in the melting temperature (ΔTm) was observed for CHIKV nsP2pro-HST complex (about + 8°C, Table 2) when compared with the native protein. The increase in thermal stability after ligand binding can be based on structural changes induced by the ligand interaction. A similar trend has been observed in the literature, where an increase in thermal stability (about + 3.6°C) after the binding of a dipeptide inhibitor with ZIKV NS2B/NS3pro was observed [66].

Docking and molecular dynamic simulations studies of HST and HSD with flavivirus and alphavirus protease 3D structures

To investigate the dynamic and structural changes of the target proteins in the presence of inhibitory molecules, experimental models of ZIKV NS2B/NS3pro (PDB entry: 5LC0) and CHIKV nsP2pro (PDB entry: 3TRK) structures were submitted, separately, to 200 ns of molecular dynamics (MD) simulations (just single molecules). Two independent simulations for each structure were performed. The structural mobility of the system was monitored by calculating the RMSD, RMSF, RoG and the surface area. The standard Cα RMSDs of the two simulations for ZIKV and CHIKV proteases are represented in S8 and S9 Figs, respectively. In simulation I (S8A Fig), the Cα RMSD is below 2Å for most of the simulation. The NS2BNS3 protease structure of ZIKV, therefore, is very stable, and does not diverge from the initial structure. In simulation II the standard RMSD (S8B Fig) shows a greater fluctuation with RMSD oscillating between 1.5 and 2.5, however, it becomes lesser than 2.5 Å at about 50 ns. Clearly, the structure undergoes some structural change. In case of nsPs protease structure of CHIKV, both simulations demonstrated relatively similar pattern with RMSD below 2.4 Å (S9 Fig).

The S1-S3 pockets of the ZIKV protease are very well defined; that show a preference for a substrate with dibasic residues (P1-P2). Besides, a hydrophobic allosteric pocket has been mapped for ZIKV protease, located near the NS2B cofactor interaction area. The activity test results demonstrated that HST and HSD are noncompetitive inhibitors for both proteases (ZIKV NS2B/NS3 and CHIKV nsP2), which means, that the ligand inhibit the protein allosterically. To identify a possible allosteric binding site we performed molecular docking and MD simulations. The noncompetitive inhibitors were docked near the protease active site, and two sets of simulations were performed and analysis of the protein structural fluctuation of both simulations in complex with the ligand molecules improved the protein stability over the 200 ns (S10S12 Figs).

The susceptibility of secondary structural content is an essential component to study the structural behavior of the protein under external influence. Analysis of the ZIKV and CHIKV protease complexes with the tested molecules indicated minor variations in the secondary structure contents and length (S13 and S14 Figs). However, we suggest that the binding of HST to the allosteric site of ZIKV NS2B/NS3pro slightly changes the secondary structure elements inducing conformational changes (S13 Fig). As the secondary structure is a trigger for the protease activity, those changes might influence in the spatial conformation of some amino acids residues, as example, the Asp75 (S13 Fig), one of the catalytically residue, which may inactivate the protease activity.

The binding of HST and HSD to the nsp2pro (CHIKV) induce a small structural elements “adjustment” near to the active residue His81. We assume that the alteration of the His81 position may disturb the active site construction and consequently the function (S14 Fig). These variations in the protein secondary structure can play a critical role in the thermal stability [67, 68] that can explain the ΔTm results described before.

Amino acid residues, which are responsible for protein-ligand interaction were identified using the interaction energy. Fig 5 illustrates the decomposition of the binding energy as well as the amino acids residues of the ZIKV protease that form the complex with HST. The Asn152 residue forms a hydrogen bond with the inhibitor. The other residues showed in the Fig 5B are involved in hydrophobic interaction with the inhibitor molecule. Fig 6 displays the decomposition of the binding energy (Fig 6A and 6B) and the interaction between nsP2pro-HST (Fig 6C) and–HSD (Fig 6D) for the protease of CHIKV. For the analyses, we have used the outcome of the two independent MD simulation runs Amino acids that form hydrogen bonds with the ligands, but appear only once in the analysis, were not considered for further investigation.

Fig 5. Amino acids participating in the ZIKV NS2B/NS3pro-HST interaction.

Fig 5

A: Decomposition of the binding energy of ZIKV NS2B/NS3pro-HST complex. Arrows label NS2B (blue) and NS3pro (gray). The residues involved in the interaction between protease and HST are labeled. B: 3D structure of ZIKV NS2B/NS3pro (PDB entry: 5LC0), the NS3pro domain is colored in gray and NS2B in blue. Amino acids highlighted are involved in the interaction with HST (yellow) based on MD simulations. The H-bond between Asn152 and HST is highlighted. C: Structural overlay of the representative complex structures of two independent MD runs (RMSD: 1.475 Å). Run1: NS2B (blue) and NS3pro (gray) and run2: NS2B (green) and NS3pro (brown). The binding region of HST is highlighted, the involved amino acids and HST position are the same between run1 and run2. The distance between Asn152 and HST differs slightly between MD run1 and run2 (2.9 to 2.8 Å).

Fig 6. Amino acids participating in the CHIKV nsP2pro-HST and -HSD interaction.

Fig 6

A: Decomposition of the binding energy of CHIKV nsP2pro-HST complex. Arrows label the protease domain (gray) and methyltransferase domain (green). The residues involved in the interaction between protease and HST are labeled. B: Decomposition of the binding energy of CHIKV nsP2pro-HSD complex. The residues involved in the interaction between protease and HSD are labeled. C: 3D structure of CHIKV nsP2pro (PDB entry: 3TRK), the protease domain is colored in gray and methyltransferase domain in green. Amino acids highlighted that are involved in the interaction with HST (yellow) based on MD simulations. The H-bond between Lys89 and HST is highlighted. D: 3D structure of CHIKV nsP2pro, amino acids highlighted are involved in the interaction with HSD (yellow) based on MD simulations. The H-bonds between Tyr77, Met240, Val75 and Glu48 with HSD are highlighted. E: Structural overlay of the representative CHIKV nsP2pro-HST complex structures of two independent MD runs (RMSD: 1.259 Å). Run1: nsP2pro (gray), HST (yellow) and run2: nsP2 (brown), HST (orange). The binding region of HST is highlighted, the involved amino acids and HST position differs between run1 and run2. In run2 Pro47, Leu51, Leu63 and Ph91 are not interacting by hydrophobic interactions with HST. However, Lys89 forms in run2 like in run1 a hydrogen bond to HST, the distances between donor and acceptor differs slightly between MD run1 and run2 (3.4 to 3.5 Å). F: Structural overlay of the representative CHIKV nsP2pro-HSD complex structures of two independent MD runs (RMSD: 1.733 Å). Run1: nsP2pro (gray), methyltransferase domain (green), HSD (yellow) and run2: nsP2 (brown), methyltransferase domain (cyan), HST (orange). The binding region of HST is highlighted, the involved amino acids and HST position differs slightly between run1 and run2. The main difference concerns Met240, which forms in run1 a hydrogen bond, in run2 this interaction is not more formed, the distance increased from 3.0 to 5.5 Å. Because of this observation, Met240 will be not further considered. The hydrogen bonds formed by Glu48, Val75 and Tyr77 remain unaffected.

Hydrophobic (Val29, Leu31, Phe37, Thr119, Asp121, Ile124 and Asn152) and hydrogen bonding (Asp 152) interactions were found to be responsible for the stable interaction between HST and ZIKV NS2B/NS3pro. Both interactions are key players in stabilizing energetically favored ligands. Several amino acids from both domains are involved in the interaction with HST; three residues of the NS2B domain (Val29, Leu31 and Phe37) and four of the NS3 protease domain (Thr119, Asp121, Ile124 and Asn152) (Fig 5A). Asn152 forms a single hydrogen bond (H-bond) with HST and the side chain NH2 group of Asn152 functions as donor and O1 of HST acceptor (Tables 3 and 4, atom numbers of HST and HSD are shown in S15 Fig). For more details, see Table 3.

Table 3. Residues involved in forming H-bonds and hydrophobic contacts between the proteins and the ligands.

Protein Ligand Interacting Residue
H-Bond Hydrophobic interaction
ZIKV NS2BNS3pro HST Asn152 Val29, Leu31, Phe37, Thr119, Asp121, Ile124
CHIKV nsP2pro HST Lys89 Pro47, Glu48, Leu51, Leu63, Val75, Tyr76, Tyr77, Trp82, Gly88, Phe91
HSD Tyr77, Val75, Glu48 Pro47, Tyr76, Trp82, Lys89, Phe91, Leu203, Met236, Met240

Table 4. Atoms involved in the H-Bond interaction between flavivirus and alphavirus proteases and ligands.

Protein Ligand Atom (Amino acid) Atom (Ligand) H-bond Donor/Acceptor
ZIKV NS2B/NS3pro HST Asn152
NH2 (Side chain) O1 N-H-—-O (2.9)a
CHIKV nsP2pro HST Lys89
NH (Backbone) O5 N-—-H-O (3.4)
HSD Glu48
NH (Backbone) O3 N-H-—-O (2.6)
Val75
O (Backbone) O8 O-—-H-O (2.8)
Tyr77
O (Backbone) O10 O-—-H-O (3.5)

aDistance between H-Bond donor and acceptor shown in Å.

The catalytic triad (His51, Asp75 and Ser135) do not interact directly with the ligand and are in agreement with the competition assay results that identified HST as a noncompetitive inhibitor of ZIKV NS2B/NS3pro. From our results, we can assume that HST is an allosteric inhibitor, binding at a site other than the active site and this interaction altered the catalytic site conformation, thereby, prevented the entry of the substrate. Additional experiments are needed to confirm this assumption.

The results of two independent MD runs with ZIKV NS2B/NS3pro and HST demonstrate the reproducibility of the HST position and interacting amino acids during 200 ns of simulation (Fig 5C).

Eleven amino acids are involved in the interaction between CHIKV nsP2pro and HST and all of them are located in the cysteine protease domain (Pro47, Glu48, Leu51, Leu63, Val75, Tyr76, Tyr77, Trp82, Gly88, Lys89, Phe91) (Table 3 and Fig 6A). Lys89 form a single H-bond with HST, which is mediated by the backbone NH group of the amino acid (acceptor) and the O5 (OH, donor) of HST (Table 4). Pro47, Glu48, Leu51, Leu63, Val75, Tyr76, Tyr77, Trp82, Gly88 and Phe91 stabilize the binding by hydrophobic interactions.

HSD interact with eight amino acids in the cysteine protease domain (Pro47, Glu48, Val75, Tyr76, Tyr77, Trp82, Lys89, Ph91) and three in the methyltransferase domain (Leu203, Met236, Met240) (Fig 6B).

Glu48, Val75 and Tyr77 form H-bonds with HSD and stabilize the interaction (Table 3). The greater number of H-bonds can explain the higher ligand-binding energy observed for the CHIKV nsP2pro-HSD complex with -37.1 ± 3.7 kcal/mol, compared with CHIKV nsP2pro-HST with -23.5 ± 2.3 kcal/mol and ZIKV NS2B/NS3pro-HST with -25.5 ± 4.1 kcal/mol.

The Glu48 backbone (NH group) interacts with O3 of HSD. Val75 and Tyr77 interacts with the OH groups in the sugar moiety of HSD. Val75 backbone O interact with O8 (OH) of HSD and Tyr77 backbone O with O10 (OH) of HSD (Table 4). As described before for ZIKV NS2B/NS3pro, in CHIKV nsP2pro the active site residues (Cys11 and His81) do not interact directly with HST and HSD as demonstrated by the noncompetitive inhibition mechanism.

Using computational approaches, the localization of probable allosteric sites in ZIKV NS2B/NS3pro and CHIKV nsP2pro were defined previously [46, 69, 70]. They described that the ZIKV NS2B/NS3pro allosteric site are formed by Lys73, Gln74, Asp123, Gly124, Asp125, Ala 128, Asn152 and Ala164 amino acid residues [46, 71]. In our studies, we docked the HST molecule, which is a noncompetitive ligand, based on the same allosteric site. The interaction with ZIKV NS3B/NS3pro showed the same amino acids as reported by Roy et al. 2017 [46] and mostly interactions are based on hydrophobic interactions, H-bond can be observed with the amino acid Asn152 (Table 3 and S16A Fig). Allosteric site of CHIKV nsP2 have already been proposed [72], based on the previous results, HST and HSD was docked in the supposed allosteric site, which is formed by Ser46, Glu48, Val49, Val75, Tyr76, Tyr77, Trp82, Gly88, Leu203, Pro206, Met236, Lys237, Gln239, Met240 and Asp244 residues [72]. HST showed interaction with several amino acid residues of the proposed allosteric site of nsP2 protease by hydrophobic interaction (Glu48, Val75, Tyr76, Tyr77, Trp82, Gly88 and Leu203) (Table 3 and S16B Fig), HSD interacted with the same amino acids but showed one additional interaction with Met236 (Table 3 and S16C Fig).

To investigate further the plasticity of the virus proteases in complex with HST and HSD and the possible consequences of the ligand binding, the substrate binding sites S1, S1´, S2, S3, S4 and the oxyanion hole after MD simulation of the complexes were analysed. Amino acids comprising the substrate binding sites of ZIKV NS2B/NS3pro and CHIKV nsP2pro were previously described [71, 72], and we have presented the results in S2 Table and Fig 7. Conformational changes of both proteases after ligand binding were observed, probably due to allosteric modulation (Fig 7).

Fig 7. Substrate binding pockets and oxyanion hole of ZIKV NS2B/NS3pro and CHIKV nsP2pro (S1, S1´, S2, S3, S4) under the influence of HST and HSD.

Fig 7

Structural overlay with the native protein structures, the active site residues are highlighted. The amino acid residues and the inhibitors are shown in sticks.

In the case of ZIKV NS2B/NS3pro a single amino acid, Asn152 (S2), form a H-bond with HST. In case of CHIKV nsP2pro, the Trp82 (S2 and S4) and the Tyr77 (S3) are involved in the interaction with HST and HSD, whereas Met240 (S3) only with HSD (Fig 7). As described before, HST-Asn152 H-bond probably modify the shape of the substrate binding site. Interestingly, the effect of HST on CHIKV nsP2pro seems to follow the same principle. The residues of the S2, S3 and S4 sites of CHIKV nsP2pro, mediate the HSD interactions. These subsites are no more accessible for the substrate because the interaction with HSD cause changes in the shape of the substrate binding site.

Pharmacokinetic view on the eligibility of HST and HSD as lead molecules targeting viral proteases

Bioavailability is a key factor in ensuring the efficacy of bioactive flavonoids. Studies demonstrated that HSD had limited bioavailability and required deglycosylation to be absorbed in the colon or intestine [7375]. HSD is converted to HST by the microbiota of the colon, and then, it is absorbed by colonocytes via proton-coupled active transport and transcellular passive diffusion. On the other hand, HST and HST 7-glucoside are directly absorbed by enterocytes [73, 74]. Table 5 summarize the pharmacological kinetics for HST and HSD, described earlier by Nielson et al. and Manach et al. [74, 75].

Table 5. Pharmacological kinetics for HST and HSD.

Pharmacological kinetics* Hesperetin Hesperidin
T1/2 (h) 5.32 ± 0.62 6.74 ± 0.79
Co (µM) 7.35 ± 1.71 7.47 ± 1.64
AUC last (h µM) 3.01 ± 0.29 4.12 ± 0.26
AUC inf. (h µM) 3.49 ± 0.37 4.92 ± 0.38
Vd (L/kg) 145.60 ± 8.84 64.58 ± 3.70
Cl (L/h/kg) 19.09 ± 1.99 6.69 ± 0.58
MRT (h) 3.60 ± 0.21 4.22 ± 0.67
Dose of administration 20 mg/kg 20 mg/kg
Potential maximal tolerated dose** Citrus flavonoids are extremely safe and without side effects also up to high concentrations of 100 mg/kg to 500 mg/kg.

* [75].

** [76].

T1/2 elimination half-life.

Co initial concentration.

AUC area under the curve.

Vd volume of distribution.

Cl systemic clearance.

MRT mean residence time.

Another key factor to evaluate the eligibility of potential lead compounds is toxicity or tolerated dose for the cells. Cytotoxicity of HST and HSD was tested by MTT assay on Vero cells (Fig 8)

Fig 8. MTT assay of HST and HSD on Vero cells.

Fig 8

MTT assay was used to evaluate the cytotoxicity of the two compounds. Different concentrations up to 300 µM were used to treat the Vero cells for 2 days. Data shown are the means ± SD from three independent measurements (n = 3). Asterisk means the data differed from the control (0 µM) significantly at p < 0.05 (*) and at p < 0.01 (**), level according to ANOVA and Tukey’s test. A: Hesperetin and B: Hesperidin.

Vero cells were treated with HST and HSD at concentrations ranging from 2.3 to 300 μM. The results showed that both molecules have no cytotoxic effect at the calculated IC50 concentrations, which were determined by in vitro experiments. The low cytotoxicity of both molecules is in agreement with results described before [76] (Table 5).

A major concern about protease inhibitors is the negative effect on human proteases. In general, HST and HSD are extremely safe [77]. Shawar et al. 2013 investigated the inhibitory effect of both flavonoids against trypsin and the calculated IC50 values were 104 µM (HST) and 127 µM (HSD) [78], respectively. The IC50 values for HST and HSD described in our study are 10 to 50 times lower and this concentration will probably not affect trypsin activity. The same applies to the human pancreatic elastase and HST [79].

HST was reported to affect CHIKV intracellular replication using a CHIKV replicon cell-line. In the same study the authors demonstrated that HST possess no antiviral activity against anti-entry, anti-adsorption, direct virucidal assays and the stages of CHIKV replication cycle [29]. Similar results were observed for HSD against CHIKV and HST against ZIKV in plaque reduction assay. Vero cells infected with 50 PFU of CHIKV or ZIKV, after 48 h incubation, were challenged with two different HST or HSD concentrations. No inhibition was detected in these samples (S17 Fig).

Conclusion

Globally, arbovirus infections are increasing in numbers, which cause common severe febrile diseases, that can lead to long-term physical or cognitive impairment with severe consequences, where in some cases cause early deaths have been reported [2, 7]. More than 100 arboviruses are identified to cause disease in humans and recently, the co-infections caused by ZIKV and CHIKV pose a new challenge to combat the diseases.

Our results report the use of a natural molecule that can be used as a lead compound against both viruses proteases (ZIKV and CHIKV), to combat their co-infections. Flavivirus and alphavirus proteases are members of different families and the discovery of natural compounds affecting serine and cysteine proteases with a high efficiency is an achievement. Our results showed that HST has a strong inhibitory activity on viral proteases with the IC50 values < 13 μM. The resulting ligand efficiencies (> 0.3) indicate typical values of lead compounds [44] that allow us to infer the importance of this molecule for future studies. The activity assays identified HST as a noncompetitive inhibitor and docking and MD studies exhibited the hypothetical binding site. Even though the molecule is not “touching” the active site triad of the proteases; we assume that the interaction in the allosteric site could modify the substrate-binding site. Furthermore, even though exhibiting a weak inhibitory effect against ZIKV protease, HSD has the potential to inhibit CHIKV nsP2pro strongly with an IC50 value lower than 10 µM. The sugar moiety of HSD seems to be the major portion of the molecule that may be restricting the interaction with ZIKV protease, but positively affecting the interaction with CHIKV nsP2pro. The partly deglycosylation of HSD in the human gut to HST generate a mixture of both molecules and from our results we can assume that HST and a mixture of HST and HSD could inhibit both proteases strongly.

MTT assays demonstrated that HST and HSD have no cytotoxic effect at the calculated IC50 concentrations, which were determined by in vitro experiments. However, plaque reduction assays showed no antiviral effect of HST and HSD against both viruses.

However, identification of a lead compound is the first step in making a new drug to treat a disease. Our results confirm that HST and HSD inhibit virus proteases at low µM concentrations and the binding affinities were < 45 µM. Additionally, both molecules possess a very low cytotoxicity. Once a lead compound has been found, the chemical structure is used as a starting point to improve the properties of it (by chemical modifications) and design a drug that is most potent and the least harmful to host. Essential modifications can enhance the relevant pharmaceutical properties of the drug molecules such as inhibition and affinity with the targets; specificity against the targets; uptake of the molecules in the cell and cell wall passage; metabolism of the molecules in the cell.

Supporting information

S1 Fig. Preparation of ZIKV NS2B/NS3pro.

Expression and purification of ZIKV NS2B/NS3pro. The ZIKV NS2B/NS3pro construct consists of 266 amino acids with a molecular weight of 28.68 kDa. The protein presented a single band on a denaturing SDS-PAGE gel with an apparent molecular mass of approximately 30 kDa. A: SDS-PAGE analysis of ZIKV NS2B/NS3pro solubility test. M: Protein marker, P: cell pellet, SN: supernatant. B: SDS-PAGE analysis of ZIKV NS2B/NS3pro after NI-NTA purification. M: Protein marker, W1: washing step without imidazole, W2-W4: washing step with imidazole (10, 20, 40 mM), E1-E3: imidazole elution steps (80, 250, 500 mM). C: Chromatogram of size exclusion chromatography of ZIKV NS2B/NS3pro. D: SDS-PAGE of ZIKV NS2B/NS3pro after size exclusion chromatography.

(TIF)

S2 Fig. Preparation of CHIKV nsP2pro.

Expression, purification and CD spectrum after the preparation process of CHIKV nsP2pro. The CHIKV nsP2pro construct consists of 346 amino acids with a molecular weight of 39.38 kDa. The protein presented a single band on a denaturing SDS-PAGE gel with an apparent molecular mass of approximately 40 kDa. A: SDS-PAGE analysis of CHIKV nsP2pro solubility test. M: Protein marker, P: cell pellet, SN: supernatant. B: SDS-PAGE analysis of CHIKV nsP2pro after NI-NTA purification. M: Protein marker, W1: washing step without imidazole, W2-W3: washing step with imidazole (10, 40 mM), E1-E2: imidazole elution steps (250, 500 mM). C: Chromatogram of size exclusion chromatography of CHIKV nsP2pro. D: SDS-PAGE of CHIKV nsP2pro after size exclusion chromatography.

(TIF)

S3 Fig. Citrus plant flavonoids with inhibitory activity against ZIKV NS2B/NS3pro and CHIKV nsP2pro.

Dose response curve for (A and B) HST and (C) HSD. Half maximum inhibitory concentration (IC50) values were determined by nonlinear regression using 20 µM substrate (ZIKV NS2B/NS3pro), 3 µM substrate (CHIKV nsP2pro), 3 nM ZIKV NS2B/NS3pro, 1 µM CHIKV nsP2pro, with varying concentrations of the inhibitors. Data shown are the means ± SD from three independent measurements (n = 3). S1 Data contain the underlying data for the IC50 value determination.

(TIF)

S4 Fig. Fluorescence spectroscopy of Trp at 295 nm of ZIKV NS2B/NS3pro and CHIKV nsP2pro in the presence ligands.

HST and HSD titration experiments. Data shown are the means ± SD from three independent measurements (n = 3). A: Fluorescence of ZIKV NS2B/NS3pro under influence of HST titration demonstrated a red excitation shift of visible Trp (*). B: Binding saturation curve and modified Hill equation determined a KD value of 17.8 ± 2.9 µM for the ZIKV NS2B/NS3pro-HST interaction. C: Fluorescence of CHIKV nsP2pro under influence of HSD titration. D: Binding saturation curve and modified Hill equation determined a KD value of 40.7 ± 2.0 µM for the CHIKV nsP2pro-HSD interaction. E: Fluorescence of CHIKV nsP2pro under influence of HST titration demonstrated a red excitation shift of visible Trp (*). F: Binding saturation curve and modified Hill equation determined a KD value of 31.6 ± 2.5 µM for the CHIKV nsP2pro-HST interaction.

(TIF)

S5 Fig. KD determination using a modified Hill equation.

Based on fluorescence spectroscopy of Trp at 295 nm of ZIKV NS2B/NS3pro and CHIKV nsP2pro in the presence ligands. Intersection with x-axis corresponds to the logarithmic value of the KD. A: ZIKV NS2B/NS3pro-HST interaction. B: CHIKV nsP2pro-HSD interaction. C: CHIKV nsP2pro-HST interaction.

(TIF)

S6 Fig. Thermal denaturation of ZIKV NS2B/NS3pro and CHIKV nsP2pro using fluorescence spectroscopy.

Data shown are the means ± SD from three independent measurements (n = 3). A: Fluorescence spectra during thermal denaturation of ZIKV NS2B/NS3pro. B: Plot of the native protein fraction (fN) and the unfolding protein fraction (fU), during thermal denaturation from 20 to 85°C. With increasing temperature fN decrease and fU increase, on the intersection of both curves the melting temperature (Tm) of 43°C was determined for ZIKV NS2B/NS3pro. C: Fluorescence spectra during thermal denaturation of CHIKV nsP2pro. D: Plot of the native protein fraction (fN) and the unfolding protein fraction (fU), during thermal denaturation from 20 to 85°C. The melting temperature (Tm) of 47°C was determined for CHIKV nsP2pro.

(TIF)

S7 Fig. Thermal denaturation of ZIKV NS2B/NS3pro and CHIKV nsP2pro-HST and -HSD complexes using fluorescence spectroscopy.

Data shown are the means ± SD from three independent measurements (n = 3). A: Fluorescence spectra during thermal denaturation of ZIKV NS2B/NS3pro-HST complex. B: Plot of the native protein fraction (fN) and the unfolding protein fraction (fU), during thermal denaturation from 20 to 85°C. The melting temperature (Tm) of 43°C was determined for ZIKV NS2B/NS3pro and for the ZIKV NS2B/NS3pro-HST complex the Tm increased to 49°C. C: Fluorescence spectra during thermal denaturation of CHIKV nsP2pro-HST complex. D: Plot of the native protein fraction (fN) and the unfolding protein fraction (fU), during thermal denaturation from 20 to 85°C. The melting temperature (Tm) of 47°C was determined for CHIKV nsP2pro and for the CHIKV nsP2pro-HST complex the Tm increased to 55°C. E: Fluorescence spectra during thermal denaturation of CHIKV nsP2pro-HSD complex. F: Plot of the native protein fraction (fN) and the unfolding protein fraction (fU), during thermal denaturation from 20 to 85°C. The melting temperature (Tm) of 43°C was determined for CHIKV nsP2pro and for the CHIKV nsP2pro-HSD complex the Tm changed to 52°C.

(TIF)

S8 Fig. Time dependent modifications during MD simulation of ZIKV NS2B/NS3pro.

RMSD, RMSF, RoG and surface area changes over 200 ns of two independent MD runs. ZIKV NS2B (blue) and ZIKV NS3pro (green). The ZIKV NS2B cofactor is a small loop and is very flexible, which explain the bigger RoG and smaller surface area compared with NS3pro. A: MD run1, B: MD run2.

(TIF)

S9 Fig. Time dependent modifications during MD simulation of CHIKV nsP2pro.

RMSD, RMSF, RoG and surface area changes over 200 ns of two independent MD runs. CHIKV nsP2pro MD run1 (dark blue) and CHIKV nsP2pro MD run2 (green).

(TIF)

S10 Fig. Time dependent modifications during MD simulation of ZIKV NS2B/NS3pro-HST.

RMSD, RMSF, RoG and surface area changes over 200 ns of two independent MD runs. ZIKV NS2B (blue), ZIKV NS3pro (green) and HST (black). RMSD as function of time. A: ZIKV NS2B/NS3pro-HST MD run1. B: ZIKV NS2B/NS3pro-HST MD run2.

(TIF)

S11 Fig. Time dependent modifications during MD simulation of CHIKV nsP2pro-HST.

RMSD, RMSF, RoG and surface area changes over 200 ns of two independent MD runs. RMSD as function of time. A: CHIKV nsP2pro-HST MD run1, CHIKV nsP2pro (dark blue) and HST (red). B: CHIKV nsP2pro-HST MD run2, CHIKV nsP2pro (green) and HST (pink).

(TIF)

S12 Fig. Time dependent modifications during MD simulation of CHIKV nsP2pro-HSD.

RMSD, RMSF, RoG and surface area changes over 200 ns of two independent MD runs. RMSD as function of time. A: CHIKV nsP2pro-HSD MD run1, CHIKV nsP2pro (dark blue) and HSD (red). B: CHIKV nsP2pro-HSD MD run2, CHIKV nsP2pro (green) and HSD (pink).

(TIF)

S13 Fig. Structural model of ZIKV NS2B/NS3pro after MD simulations with and without HST, RMSF and secondary structure changes.

ZIKV NS2B/NS3pro: NS3pro in rosé, NS2B in cyan, ZIKV NS2B/NS3pro-HST: NS3pro in gray, NS2B in blue and HST in yellow. Secondary structure changes highlighted in red. A: Overlay of the RMSF of ZIKV NS2B/NS3pro with and without HST. B: Secondary structure changes over 200 ns of ZIKV NS2B/NS3pro with and without HST. I-IV labels small changes in the secondary structure. C: Structural overlay of ZIKV NS2B/NS3pro with and without HST. Secondary structure changes highlighted in red and the number code. Right panel: Zoom view on the secondary structure changes.

(TIF)

S14 Fig. Structural model of CHIKV nsP2pro after MD simulations with and without HST and HSD, RMSF and secondary structure changes.

CHIKV nsP2pro: protease domain in violet, methyl transferase domain in cyan, CHIKV nsP2proHST/HSD: protease domain in gray, methyl transferase domain in green, HST/HSD in yellow. A: Overlay of the RMSF of CHIKV nsP2pro with and without HSD and HST. B: Secondary structure changes over 200 ns of CHIKV nsP2pro with and without HSD and HST. I-VI labels small changes in the secondary structure. C: Structural overlay of CHIKV nsP2pro with and without HSD and HST. Secondary structure changes highlighted in red and the number code. Right panel: Zoom view on the secondary structure changes.

(TIF)

S15 Fig. Atom numbers of HST and HSD.

A: HST and B: HSD.

(TIF)

S16 Fig. ZIKV NS2B/NS3pro and CHIKV nsP2pro allosteric sites.

Surface view of the protease structures and the ligands. A: ZIKV NS2B/NS3pro-HST complex. NS2B is colored in blue, NS3pro in gray, HST in yellow, active site in green and allosteric site in red. B: CHIKV nsP2pro-HST complex. Protease domain is colored in gray, methyltransferase domain in green, HST in yellow, active site in blue and allosteric site in red. C: CHIKV nsP2pro-HSD complex. Protease domain is colored in gray, methyltransferase domain in green, HSD in yellow, active site in blue and allosteric site in red.

(TIF)

S17 Fig. Plaque reduction assay to determine the antiviral effect of HST and HSD against ZIKV and CHIKV.

Data shown are the means ± SD from three independent measurements (n = 3). There were no antiviral activities of HST and HSD observable. Virus control (black) and two inhibitor concentrations (grey). A: ZIKV under HST influence. B: CHIKV under HST influence and C: CHIKV under HSD influence.

(TIF)

S1 Table. Drugs or inhibitors affecting flavivirus and alphavirus proteases or other virus target proteins.

(DOCX)

S2 Table. Contributing amino acids in the Substrate-binding sites of ZIKV NS2B/NS3pro and CHIKV nsP2pro.

(DOCX)

S1 Data

(XLSX)

Acknowledgments

We would like to thank Dr. Nivedita Cukkemane to prove read the manuscript. Further, we would like to thank members of the Multiuser Center for Biomolecular Innovation (IBILCE, São Jose do Rio Preto, Brazil) and the Institute of Biological Information Processing (Forschungszentrum Jülich, Germany), without their help this project would not have been feasible.

Data Availability

All relevant data are within the paper and its Supporting Information files.

Funding Statement

The study was supported by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (435913/2016-6, 401270/2014-9, 307338/2014-2) received by RA. Fundação de Amparo à Pesquisa do Estado de São Paulo (2016/12904-0, 2018/12659-0, 2018/07572-3, 2019/05614-3) by RE and MC. Ciência e Tecnologia do Estado de Mato Grosso do Sul (23/200.307/2014) by MA. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.El-Sayed A, Kamel M. Climatic changes and their role in emergence and re-emergence of diseases. Environ Sci Pollut Res Int. 2020;27:22336–22352. 10.1007/s11356-020-08896-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Mayer SV, Tesh RB, Vasilakis N. The emergence of arthropod-borne viral diseases: A global prospective on dengue, chikungunya and zika fevers. Acta Trop. 2017;166:155–163. 10.1016/j.actatropica.2016.11.020 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Jones KE, Patel NG, Levy MA, Storeygard A, Balk D, Gittleman JL, et al. Global trends in emerging infectious diseases. Nature 2008;451:990–993. 10.1038/nature06536 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Wolfe ND, Dunavan CP, Diamond J. Origins of major human infectious diseases. Nature 2007;447:279–283. 10.1038/nature05775 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Bhatt S, Gething PW, Brady OJ, Messina JP, Farlow AW, Moyes CL, et al. The global distribution and burden of dengue. Nature 2013;496:504–507. 10.1038/nature12060 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Brady OJ, Gething PW, Bhatt S, Messina JP, Brownstein JS, Hoen AG, et al. Refining the global spatial limits of dengue virus transmission by evidence-based consensus. PLoS Negl. Trop. Dis. 2012;6:e1760. 10.1371/journal.pntd.0001760 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Vogels CBF, Rückert C, Cavany SM, Perkins A, Ebel GD, Grubaugh ND. Arbovirus coinfection and co-transmission: A neglected public health concern? PLoS Biol. 2019;17:e3000130. 10.1371/journal.pbio.3000130 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Perkins TA, Siraj AS, Ruktanonchai CW, Kraemer MUG, Tatem AJ. Model-based projections of Zika virus infections in childbearing women in the Americas. Nat. Microbiol. 2019;9:16126. 10.1038/nmicrobiol.2016.126 [DOI] [PubMed] [Google Scholar]
  • 9.Weaver SC, Lecuit M. Chikungunya virus and the global spread of a mosquito-borne disease. N. Engl. J. Med. 2015;13:1231–1239. 10.1056/NEJMra1406035 [DOI] [PubMed] [Google Scholar]
  • 10.Fauci AS, Morens DM. Zika virus in the Americas—yet another arbovirus threat. N. Engl. J. Med. 2016;374:601–604. 10.1056/NEJMp1600297 [DOI] [PubMed] [Google Scholar]
  • 11.Vasconcelos PFC, Calisher CH. Emergence of human arboviral diseases in the Americas, 2000–2016. Vector Borne Zoonotic Dis. 2016;16:295–301. 10.1089/vbz.2016.1952 [DOI] [PubMed] [Google Scholar]
  • 12.Amraoui F, Failloux AB. Chikungunya: an unexpected emergence in Europe. Curr. Opin. Virol. 2016;21:146–150. 10.1016/j.coviro.2016.09.014 [DOI] [PubMed] [Google Scholar]
  • 13.Rückert C, Weger-Lucarelli J, Garcia-Luna SM, Young MC, Byas AD, Murrieta RA, et al. Impact of simultaneous exposure to arboviruses on infection and transmission by Aedes aegypti mosquitoes. Nat. Commun. 2017;8:15412. 10.1038/ncomms15412 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Grubaugh ND, Faria NR, Andersen KG, Pybus OG. Genomic insights into Zika virus emergence and spread. Cell 2018;172:1160–1162. 10.1016/j.cell.2018.02.027 [DOI] [PubMed] [Google Scholar]
  • 15.Pan American Health Organization / World Health Organization. Zika–Epidemiological Report Brazil. December 2019. Washington, D.C.: PAHO/WHO; 2019. [Google Scholar]
  • 16.Rodriguez-Morales AJ, Villamil-Gómez WE, Franco-Paredes C. The arboviral burden of disease caused by co-circulation and co-infection of Dengue, Chikungunya and Zika in the Americas. Travel Med. Infect. Di. 2016;14:177–179. 10.1016/j.tmaid.2016.05.004 [DOI] [PubMed] [Google Scholar]
  • 17.Sardi SI, Somasekar S, Naccache SN, Bandeira AC, Tauro LB, Campos GS, et al. Coinfections of Zika and Chikungunya viruses in Bahia, Brazil, identified by metagenomic next-generation sequencing. J. Clin. Microbiol. 2016;54:2348–53. 10.1128/JCM.00877-16 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Villamil-Gómez WE, Rodríguez-Morales AJ, Uribe-García AM, González-Arismendy E, Castellanos JE, Calvo EP, et al. Zika, dengue, and chikungunya co-infection in a pregnant woman from Colombia. Int. J. Infect. Dis. 2016;51:135–138. 10.1016/j.ijid.2016.07.017 [DOI] [PubMed] [Google Scholar]
  • 19.Acevedo N, Waggoner J, Rodriguez M, Rivera L, Landivar J, Pinsky B, et al. Zika virus, chikungunya virus, and dengue virus in cerebrospinal fluid from adults with neurological manifestations, Guayaquil, Ecuador. Front. Microbiol. 2017;8:42. 10.3389/fmicb.2017.00042 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Carrillo-Hernández MY, Ruiz-Saenz J, Villamizar LJ, Gómez-Rangel SY, Martínez-Gutierrez M. Co-circulation and simultaneous co-infection of dengue, chikungunya, and zika viruses in patients with febrile syndrome at the Colombian-Venezuelan border. BMC Infect. Dis. 2018;18:61. 10.1186/s12879-018-2976-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Estofolete CF, Terzian ACB, Colombo TE, de Freitas Guimarães G, Ferraz H, da Silva RA, et al. Co-infection between Zika and different Dengue serotypes during DENV outbreak in Brazil. J. Infect. Public Health. 2019;12:178–181. 10.1016/j.jiph.2018.09.007 [DOI] [PubMed] [Google Scholar]
  • 22.Waggoner JJ, Gresh L, Vargas MJ, Ballesteros G, Tellez Y, Soda KJ, et al. Viremia and clinical presentation in Nicaraguan patients infected with Zika virus, chikungunya virus, and dengue virus. Clin. Infect. Dis. 2016;63:1584–1590. 10.1093/cid/ciw589 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Bhakat S, Karubiu W, Jayaprakash V, Soliman MES. A perspective on targeting non-structural proteins to combat neglected tropical diseases: dengue, West Nile and chikungunya viruses. Eur. J. Med. Chem. 2014;87:677–702. 10.1016/j.ejmech.2014.10.010 [DOI] [PubMed] [Google Scholar]
  • 24.Henchal EA, Putnak JR. The dengue viruses. Clin. Microbiol. Rev. 1990;3:376–396. 10.1128/cmr.3.4.376 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Falgout B, Pethel M, Zhang YM, Lai CJ. Both nonstructural proteins NS2B and NS3 are required for the proteolytic processing of dengue virus nonstructural proteins. J Virol. 1991;65:2467–2475. 10.1128/JVI.65.5.2467-2475.1991 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Lescar J, Luo D, Xu T, Sampath A, Lim SP, Canard B, et al. Towards the design of antiviral inhibitors against flaviviruses: The case for the multifunctional NS3 protein from dengue virus as a target. Antiviral Res. 2008;80:94–101. 10.1016/j.antiviral.2008.07.001 [DOI] [PubMed] [Google Scholar]
  • 27.Sampath A, Padmanabhan R. Molecular targets for flavivirus drug discovery. Antiviral Res. 2009;81:6–15. 10.1016/j.antiviral.2008.08.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Strauss JH, Strauss EG. The alphaviruses: gene expression, replication, and evolution. Microbiol Rev. 1994;58:491–562. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Ahmadi A, Hassandarvish P, Lani R, Yadollahi P, Jokar A, Bakarb SA, et al. Inhibition of chikungunya virus replication by hesperetin and naringenin. RSC Adv. 2016;6:69421–69430. 10.1039/C6RA16640G [DOI] [Google Scholar]
  • 30.Zandi K, Teoh B, Sam S, Wong P, Mustafa MR, AbuBakar A. In vitro antiviral activity of Fisetin, Rutin and Naringenin against Dengue virus type-2. J. Med. Plants Res. 2011;5:5534–5539. [Google Scholar]
  • 31.Kaur P, Thiruchelvan M, Lee RC, Chen H, Chen KC, Ng ML, et al. Inhibition of chikungunya virus replication by harringtonine, a novel antiviral that suppresses viral protein expression. Antimicrob. Agents Chemother. 2013;57:155–167. 10.1128/AAC.01467-12 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Chen X, Yang K, Wu C, Chen C, Hu C, Buzovetsky O, et al. Mechanisms of activation and inhibition of Zika virus NS2B-NS3 protease. Cell Res. 2016;26:1260–1263. 10.1038/cr.2016.116 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Lin KH, Ali A, Rusere L, Soumana DI, Yilmaz NK, Schiffer CA. Dengue virus NS2B/NS3 protease inhibitors exploiting the prime side. J. Virol. 2017;91:e00045–17. 10.1128/JVI.00045-17 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Mushtaq S, Abbasi BH, Uzair B, Abbasi R. Natural products as reservoirs of novel therapeutic agents. EXCLI J. 2018;17:420–451. 10.17179/excli2018-1174 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Middleton EJr, Kandaswami C, Theoharides TC. The effects of plant flavonoids on mammalian cells: implications for inflammation, heart disease, cancer. Pharmacol. Rev. 2000;52:673–751. [PubMed] [Google Scholar]
  • 36.Kim DH, Jung EA, Sohng IS, Han JA, Kim TH, Han MJ. Intestinal bacterial metabolism of flavonoids and its relation to some biological activities. Arch. Pharm. Res. 1998;21:17–23. 10.1007/BF03216747 [DOI] [PubMed] [Google Scholar]
  • 37.Parhiz H, Roohbakhsh A, Soltani F, Rezaee R, Iranshahi M. Antioxidant and anti‐inflammatory properties of the citrus flavonoids hesperidin and hesperetin: an updated review of their molecular mechanisms and experimental models. Phytother. Res. 2015;29:323–331. 10.1002/ptr.5256 [DOI] [PubMed] [Google Scholar]
  • 38.Roohbakhsh A, Parhiz H, Soltani F, Rezaee R, Iranshahi M. Neuropharmacological properties and pharmacokinetics of the citrus flavonoids hesperidin and hesperetin—a mini-review. Life Sci. 2014;113:1–6. 10.1016/j.lfs.2014.07.029 [DOI] [PubMed] [Google Scholar]
  • 39.Vander dos Santos R, Villalta-Romero F, Stanisic D, Borro L, Neshich G, Tasic L. Citrus bioflavonoid, hesperetin, as inhibitor of two thrombin-like snake venom serine proteases isolated from Crotalus simus. Toxicon 2018;143:36–43. 10.1016/j.toxicon.2018.01.005 [DOI] [PubMed] [Google Scholar]
  • 40.Lim HJ, Nguyen TTH, Kim NM, Park JS, Jang TS, Kim D. Inhibitory effect of flavonoids against NS2B-NS3 protease of ZIKA virus and their structure activity relationship. Biotechnol. Lett. 2017;39:415–421. 10.1007/s10529-016-2261-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Coronado MA, Eberle RJ, Bleffert N, Feuerstein S, Olivier DS, de Moraes FR, et al. Zika virus NS2B/NS3 proteinase: A new target for an old drug-Suramin a lead compound for NS2B/NS3 proteinase inhibition. Antiviral Res. 2018;160:118–125. 10.1016/j.antiviral.2018.10.019 [DOI] [PubMed] [Google Scholar]
  • 42.Leung D, Schroder K, White H. Activity of recombinant dengue 2 virus NS3 protease in the presence of a truncated NS2B co-factor, small peptide substrates, and inhibitors. J. Biol. Chem. 2001;276:45762–45771. 10.1074/jbc.M107360200 [DOI] [PubMed] [Google Scholar]
  • 43.Gruba N, Rodriguez Martinez JI, Grzywa R, Wysocka M, Skoreński M, Burmistrz M, et al. Substrate profiling of Zika virus NS2B/NS3 protease. FEBS Lett. 2016;590:3459–3468. 10.1002/1873-3468.12443 [DOI] [PubMed] [Google Scholar]
  • 44.Caldwell W, Yan G, Lang Z, Masucci WA. The IC50 concept revisited. Curr Top Med Chem. 2012;12:1282–1290. 10.2174/156802612800672844 [DOI] [PubMed] [Google Scholar]
  • 45.Hu X, Compton JR, Leary DH, Olson MA, Lee MS, Cheung J, et al. Kinetic, Mutational, and Structural Studies of the Venezuelan Equine Encephalitis Virus Nonstructural Protein 2 Cysteine Protease. Biochemistry 2016;55:3007–3019. 10.1021/acs.biochem.5b00992 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Roy A, Lim L, Srivastava S, Lu Y, Song J. Solution conformations of Zika NS2B-NS3pro and its inhibition by natural products from edible plants. PloS one 2017;12:e0180632. 10.1371/journal.pone.0180632 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Motulsky H, Christopoulos A. Fitting models to biological data using linear and nonlinear regression: a practical guide to curve fitting. Oxford University Press, 2004. [Google Scholar]
  • 48.Hopkins AL, Groom CR, Alex A. Ligand efficiency: a useful metric for lead selection. Drug Discov. Today. 2004;9:430–431. 10.1016/S1359-6446(04)03069-7 [DOI] [PubMed] [Google Scholar]
  • 49.Selvaraj C, Tripathi SK, Reddy KK, Singh SK. Tool development for Prediction of pIC50 values from the IC50 values—A pIC50 value calculator. Curr. Trends Biotechnol. Pharm. 2011;5:1104–1109. [Google Scholar]
  • 50.Johnson ML, Frasier SG. Nonlinear least-squares analysis. Meth. Enzymol. 1985;117:301–42. 10.1016/S0076-6879(85)17018-7 [DOI] [Google Scholar]
  • 51.Shaikh SMT, Seetharamappa J, Ashoka S, Kandagal PB. A study of the interaction between bromopyrogallol red and bovine serum albumin by spectroscopic methods. Dyes Pigments. 2007;73:211–216. 10.1016/j.dyepig.2005.11.008 [DOI] [Google Scholar]
  • 52.Wang G, Liu X, Yan C, Bai G, Lu Y. Probing the binding of trypsin to glutathione-stabilized gold nanoparticles in aqueous solution. Colloids Surf. B Biointerfaces. 2015;135:261–266. 10.1016/j.colsurfb.2015.07.063 [DOI] [PubMed] [Google Scholar]
  • 53.Ahumada M, Lissi E, Montagut AM, Valenzuela-Henríquez F, Pacioni NL, Alarcon EI. Association models for binding of molecules to nanostructures. Analyst 2017;142:2067–2089. 10.1039/c7an00288b [DOI] [PubMed] [Google Scholar]
  • 54.Cugola FR, Fernandes IR, Russo FB, Freitas BC, Dias JL, Guimarães KP, et al. The Brazilian Zika virus strain causes birth defects in experimental models. Nature 2016;534:267–271. 10.1056/NEJMsr1604338 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Zhang JH, Chung TDY, Oldenburg KR. A simple statistical parameter for use in evaluation and validation of high throughput screening assays. J. Biomol. Screen. 1999;4:67–73. 10.1177/108705719900400206 [DOI] [PubMed] [Google Scholar]
  • 56.Trott O, Olson AJ. AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading. J. Comput. Chem. 2010;31:455–461. 10.1002/jcc.21334 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Morris G, Huey R. AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility. J. Comput. Chem. 2009;30:2785–2791. 10.1002/jcc.21256 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Case DA, Cerutti DS, Cheatham TE III, Darden TA, Duke RE, Giese TJ, et al. The Amber biomolecular simulation programs. J. Computat. Chem. 2005;26:1668–1688. 10.1002/jcc.20290 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Maier JA, Martinez C, Kasavajhala K, Wickstrom L, Hauser K, Simmerling C. ff14SB: Improving the Accuracy of Protein Side Chain and Backbone Parameters from ff99SB. J. Chem. Theory Comput. 2015;11:3696–3713. 10.1021/acs.jctc.5b00255 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Gordon JC, Myers JB, Folta T, Shoja V, Heath LS, Onufriev A. H++: a server for estimating pKas and adding missing hydrogens to macromolecules. Nucleic Acids Res. 2005;33:368–371. 10.1093/nar/gki464 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Darden T, York D, Pedersen L. Particle mesh Ewald: An N⋅ log (N) method for Ewald sums in large systems. J. Chem. Phys. 1993;98:10089. 10.1063/1.464397 [DOI] [Google Scholar]
  • 62.Roe DR, Cheatham TE III. PTRAJ and CPPTRAJ: software for processing and analysis of molecular synamics trajectory data. J. Chem. Theory Com. 2013;9:3084–3095. 10.1021/ct400341p [DOI] [PubMed] [Google Scholar]
  • 63.Singh H, Mudgal R, Narwal M, Kaur R, Singh VA, Malik A, et al. Chikungunya virus inhibition by peptidomimetic inhibitors targeting virus-specific cysteine protease. Biochimie 2018;149:51–61. 10.1016/j.biochi.2018.04.004 [DOI] [PubMed] [Google Scholar]
  • 64.Tripathi PK, Soni A, Yadav SPS, Kumar A, Gaurav N, Raghavendhar S, et al. Evaluation of novobiocin and telmisartan for anti-CHIKV activity. Virology 2020;548:250–260. 10.1016/j.virol.2020.05.010 [DOI] [PubMed] [Google Scholar]
  • 65.Reynolds CH, Bembenek SD, Tounge BA. The role of molecular size in ligand efficiency. Bioorg. Med. Chem. Lett. 2007;17:4258–4261. 10.1016/j.bmcl.2007.05.038 [DOI] [PubMed] [Google Scholar]
  • 66.Li Y, Zhang Z, Phoo WW, Loh YR, Wang W, Liu S, et al. Structural dynamics of Zika virus NS2B-NS3 protease binding to dipeptide inhibitors. Structure 2017;25:1242–1250. 10.1016/j.str.2017.06.006 [DOI] [PubMed] [Google Scholar]
  • 67.D’Auria G, Esposito C, Falcigno L, Calvanese L, Iaccarino E, Ruggiero A, et al. Dynamical properties of cold shock protein A from Mycobacterium tuberculosis. Biochem. Biophys. Res. Commun. 2010;402:693–698. 10.1016/j.bbrc.2010.10.086 [DOI] [PubMed] [Google Scholar]
  • 68.Coronado MA, Caruso IP, Oliveira VM, Contessoto VG, Leite VBP, Kawai LA, et al. Cold shock protein A from Corynebacterium pseudotuberculosis: role of electrostatic forces in the stability of the secondary structure. Protein Pept. Lett. 2017;24:358–367. 10.2174/0929866524666170207153808 [DOI] [PubMed] [Google Scholar]
  • 69.Millies B, von Hammerstein F, Gellert A, Hammerschmidt S, Barthels F, Göppel U, et al. Proline-based allosteric inhibitors of Zika and Dengue virus NS2B/NS3 proteases. J. Med. Chem. 2019;62:11359–11382. 10.1021/acs.jmedchem.9b01697 [DOI] [PubMed] [Google Scholar]
  • 70.Nguyen PT, Yu H, Keller PA. Identification of chikungunya virus nsP2 protease inhibitors using structure-base approaches. J. Mol. Graph. Model. 2015;57:1–8. 10.1016/j.jmgm.2015.01.001 [DOI] [PubMed] [Google Scholar]
  • 71.Phoo WW, Li Y, Zhang Z, Lee MY, Loh YR, Tan YB, et al. Structure of the NS2B-NS3 protease from Zika virus after self-cleavage. Nat. Commun. 2016;7:1–8. 10.1038/ncomms13410 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Narwal M, Singh H, Pratap S. Crystal structure of chikungunya virus nsP2 cysteine protease reveals a putative flexible loop blocking its active site. Int. J. Biol. Macromol. 2018;116:451–462. 10.1016/j.ijbiomac.2018.05.007 [DOI] [PubMed] [Google Scholar]
  • 73.Guo X, Li K, Guo A, Li E. Intestinal absorption and distribution of naringin, hesperidin, and their metabolites in mice. J. Funct. Foods. 2020;74:104158. 10.1016/j.jff.2020.104158 [DOI] [Google Scholar]
  • 74.Nielsen ILF, Chee WS, Poulsen L, Offord-Cavin E, Rasmussen SE, Frederiksen H, et al. Bioavailability is improved by enzymatic modification of the citrus flavonoid hesperidin in humans: a randomized, double-blind, crossover trial. Nutr. 2016;136:404–408. 10.1093/jn/136.2.404 [DOI] [PubMed] [Google Scholar]
  • 75.Manach C, Morand C, Gil-Izquierdo A, Bouteloup-Demange C, Remesy C. Bioavailability in humans of the flavanones hesperidin and narirutin after the ingestion of two doses of orange juice. Eur. J. Clin. Nutr. 2003;57:235–242. 10.1038/sj.ejcn.1601547 [DOI] [PubMed] [Google Scholar]
  • 76.Srirangam R, Hippalgaonkar K, Avula B, Khan IA, Majumdar S. Evaluation of the intravenous and topical routes for ocular delivery of hesperidin and hesperetin. J. Ocul. Pharmacol. Ther. 2012;28:618–627. 10.1089/jop.2012.0040 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Maiti K, Mukherjee K, Murugan V, Saha BP, Mukherjee PK. Exploring the effect of hesperetin–HSPC complex—a novel drug delivery system on the in vitro release, therapeutic efficacy and pharmacokinetics. AAPS PharmSciTech. 2009;10:943. 10.1208/s12249-009-9282-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Shahwar D, Raza MA. Identification of flavonoids with trypsin inhibitory activity extracted from orange peel and green tea leaves. J. Sci. Food Agric. 2013;93:1420–1426. 10.1002/jsfa.5910 [DOI] [PubMed] [Google Scholar]
  • 79.Ghosh D, Bansode S, Joshi R, Kolte B, Gacche R. Molecular Elucidation of Pancreatic Elastase Inhibition by Baicalein. bioRxiv. (2020). 10.1101/2020.11.06.371534 [DOI] [PubMed] [Google Scholar]

Decision Letter 0

Bryan Mounce

12 Nov 2020

PONE-D-20-32447

In vitro study of Hesperetin and Hesperidin as inhibitors of Zika and Chikungunya virus proteases

PLOS ONE

Dear Dr. Eberle,

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Reviewer #1: Yes

Reviewer #2: Partly

**********

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Reviewer #1: No

Reviewer #2: No

**********

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Reviewer #2: No

**********

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Reviewer #1: The study by Erbele et al., investigates the capacity of two natural plant-based compounds (HSD and HST) to inhibit the protease activity of ZIKV NS2B/NS3pro and CHIKV NSP2pro in vitro. The authors demonstrate inhibitory effects of both compounds against the CHIKV protease while only HST displays a modest inhibitory effect against the ZIKV protease. Through a series of dose response experiments, fluorescence spectroscopy experiments, thermal stability assays, as well as in-silico molecular docking analyses, the authors define the IC50 values of their compounds in their in vitro protease activity assays and propose the inhibitors to act non-competitively by binding allosterically to both viral proteases, thus inducing a conformational change which the authors propose alters protease activity. For the most part the biochemical data are convincing, but with all purely biochemical studies, the biological relevance of the findings is unclear. Although these compounds have been shown to possess antiviral activity against CHIKV, whether they possess antiviral activity against ZIKV is unknown. The authors should attempt to demonstrate the antiviral activity of their compounds to support their proposed usage of HSD and HST as therapeutics to treat ZIKV and CHIKV infection/co-infection. The manuscript would also benefit from the addition of a few specific controls. Specific points for the authors to address are below:

1. The authors should test the antiviral activity of HSD and HST against ZIKV infection in vitro. It would also be useful to show the antiviral activity of these compounds against CHIKV infection in the authors hands but this is less critical as already shown by others.

2. It seems as if the binding affinities of HST and HSD for CHIKV and ZIKV proteases do not correlate with their inhibitor capacity against protease activity. Could the other comment on this observation?

3. Since the authors propose usage of HSD/HST or modified compounds, to treat ZIKV and CHIKV infected patients, some discussion on the potential maximal tolerated dose, pharmacological kinetics, and dose of administration should be added to the manuscript.

4. Do the authors hypothesize the anti-protease activity HSD and HST to be specific to these viral proteases or much broader? Since HST was previously shown to inhibit protease activity of snake venom, perhaps the activity is quite broad? The authors should discuss the potential for off-target effects of these compounds and how this would be tolerated by cells in vitro or human patients.

5. It would be useful for the authors to measure cytotoxicity levels of HSD and HST on relevant human cell in vitro using the compound doses tested in this paper.

6. Statistics should be added to figure 2.

Minor Comments:

1. Line 103/104: should be written to treat co-infections?

2. Some information about the strains the CHIKV and ZIKV recombinant proteins come from should be provided in the methods.

3. Figure 2: For ZIKV protease inhibition what is the % activity observed required to call a compound a hit. A positive and negative control compound would be helpful to interpret the results.

Reviewer #2: This study reports the inhibition of two viral proteases by two related flavonoids, HST and HSD, and proposes a model for how the compounds may be binding to allosteric site as inhibition is non-competitive. Considering no drugs exist to treat Zika and chikungunya virus infections, finding compounds that inhibit their viral proteases is valuable. Many flavonoids have already been reported to have antiviral effects, including the ones reported here. The current work shows that only HST inhibits Zika while both HST and HSD inhibit CHIKV protease. No other flavonoid (some listed in Table 1) was tested. The binding affinity was assessed by determining IC50, Ki, Kd and shift in melting temperature (DeltaTm). These measurements are not consistent with each other and there is no attempt in the manuscript to explain the underlying reasons (for example, IC50/Kd are similar for the two compounds against CHIKV but KD and deltaTm differ; Ki against ZIKV relatively low but not Kd).

The work suffers from several technical issues and rigor, as detailed below. In addition, the method for docking is not described (lines 426-427). Why HST inhibits Zika protease but not HSD is not clear from the computational results presented. Below are detailed responses to the Journal's review questions:

1. Is the manuscript technically sound, and do the data support the conclusions?

There are several major issues with replication, controls and technical quality.

(1) For the molecular dynamics simulations, replicates are missing to show reproducibility and reliability. In addition, RMSF and RMSD plots (supplementary figure 6) suggest potential problems with the simulations as the RMSDs look erratic and RMSFs are too high.

(2) Replicates for determining IC50 values (Figure S1) are not shown and the curves do not reach saturation, decreasing the reliability of the values calculated.

(3) Binding of inhibitor to the proposed site is not confirmed by either experimental mutagenesis or other methods.

(4) Number of experimental replicates (and associated error bars) are not stated in most cases.

(5) The source and purity of inhibitors tested are not provided.

(6) The protein purity and molecular weight is not confirmed.

(7) Description of equation (4) in Methods is unclear and inconsistent as some terms are defined as “percentage” while others as “amount” or “concentration” and how fluorescence units are converted to concentration (without measuring minimum or background) is not clear. (8) The reasoning behind fitting the same data to both equation (4) and (5) is not justified, and the parameters (m, n) from the fit are not reported.

(9) Using equation (6) requires justification or assumption of cooperative or 1-step unfolding.

(10) Control simulations with no-ligand bound protease are needed as changes seen (for example in secondary structure content) may be due to crystal contacts.

(11) Line 459: the conclusion that allosteric binding would change catalytic site conformation cannot be drawn from the results as there is no data to support this

(12) Relation between Ki and IC50 depends on the inhibition mechanism (among other things) and Equation 2 is for competitive inhibition, so should not be used for noncompetitive inhibition here.

2. Has the statistical analysis been performed appropriately and rigorously?

Major: Statistical rigor is lacking especially for reproducibility of MD results, and error analysis for Kd and IC50 determination as well as fluorescence measurements. The very short section on Statistical analysis says P values less than 0.05 were considered significant.

Minor: Significance of reported changes in secondary structure elements (lines 438) is not known. Error analysis and comparison with apo controls are needed to be able to draw these conclusions.

3. Have the authors made all data underlying the findings in their manuscript fully available?

The data points behind experimental measurement results are not provided.

4. Is the manuscript presented in an intelligible fashion and written in standard English?

The manuscript would benefit from copyediting to improve readability.

**********

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Reviewer #1: Yes: Scott B Biering.

Reviewer #2: No

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Attachment

Submitted filename: Eberle et al Plos one review.docx

PLoS One. 2021 Mar 4;16(3):e0246319. doi: 10.1371/journal.pone.0246319.r002

Author response to Decision Letter 0


13 Jan 2021

Reviewer 1

Comment 1

The authors should test the antiviral activity of HSD and HST against ZIKV infection in vitro. It would also be useful to show the antiviral activity of these compounds against CHIKV infection in the authors hands but this is less critical as already shown by others.

Response 1

As suggested by the reviewer we have tested the molecules against ZIKV and CHIKV infection in vitro. The CHIKV results corroborate to the already published Ahmadi et al. 2016 (https://doi.org/10.1039/C6RA16640G). In Vero cells infected with ZIKV or CHIKV the compounds were practically inactive (see page 25, lines 666-667 and S17 Fig). This suggests that some modifications, as including a hydrophobic group in the molecule structure should be necessary to cross the cellular membrane and even hydrophobic moiety might be advantageous.

To analyze the action of the molecules against the viruses in infected cells it would be necessary to use ZIKV/CHIKV replicons. Unfortunately, we could not find a collaborator partner able to perform that experiment in this moment of the coronavirus crises. However, we are still looking for partners that can perform inhibition tests on virus replicons, especially for ZIKV, as Ahmadi et al. have already demonstrated the effect against CHIKV.

It is already very well characterized that the identification of a lead compound is the first step in making a new drug to treat a disease and we identified, by in vitro experiments, molecules that inhibit two different virus protease families. The molecules possess good binding affinities and low cytotoxicity.

We are introducing both molecules as lead compounds and there is clearly space for improvement of the compound properties in vitro and in vivo by chemical modifications. The development processes take time and we are presenting here the effect of both molecules in enzymatic assays.

Comment 2

It seems as if the binding affinities of HST and HSD for CHIKV and ZIKV proteases do not correlate with their inhibitor capacity against protease activity. Could the other comment on this observation?

Response 2

Actually, we did a mistake in the analyses, using a wrong equation, which is to determine the Ki values (competitive inhibitors); however, we identified noncompetitive inhibitors. We corrected the manuscript appropriately.

Comment 3

Since the authors propose usage of HSD/HST or modified compounds, to treat ZIKV and CHIKV infected patients, some discussion on the potential maximal tolerated dose, pharmacological kinetics, and dose of administration should be added to the manuscript.

Response 3

Thank you for the suggestion, we included a paragraph in the results and discussion section “Pharmacokinetic view on the eligibility of HST and HSD as lead molecules targeting viral proteases” and table 5 that include pharmacological kinetics for HST and HSD, page 24 lines 629 to 644.

Comment 4

Do the authors hypothesize the anti-protease activity HSD and HST to be specific to these viral proteases or much broader? Since HST was previously shown to inhibit protease activity of snake venom, perhaps the activity is quite broad? The authors should discuss the potential for off-target effects of these compounds and how this would be tolerated by cells in vitro or human patients.

Response 4

Shawar et al. 2013, described the inhibitory effect of HST and HSD against trypsin. However, the determined IC50 values 104 µM (HST) and 127 µM (HSD) are 10 to 50 times higher than the concentrations we observed for our target proteins. The same applies to the human pancreatic elastase and HST (Page 25, lines 656 to 661). The text was changed appropriately.

Regarding the question “If cells in vitro or human patients would tolerate these compounds”. We included in table 5 the maximal tolerated dose and in the literature, several studies showed that citrus plant flavonoids are safe, e.g.:

• Manach C, Morand C, Gil-Izquierdo A, Bouteloup-Demange C, Remesy C. Bioavailability in humans of the flavanones hesperidin and narirutin after the ingestion of two doses of orange juice. Eur. J. Clin. Nutr. 2003;57:235-242. https://doi.org/10.1038/sj.ejcn.1601547

• Srirangam R, Hippalgaonkar K, Avula B, Khan IA, Majumdar S. Evaluation of the intravenous and topical routes for ocular delivery of hesperidin and hesperetin. J. Ocul. Pharmacol. Ther. 2012;28:618-627. https://doi.org/10.1089/jop.2012.0040

• Maiti K, Mukherjee K, Murugan V, Saha BP, Mukherjee PK. Exploring the effect of hesperetin–HSPC complex—a novel drug delivery system on the in vitro release, therapeutic efficacy and pharmacokinetics. AAPS PharmSciTech. 2009;10:943. https://doi.org/10.1208/s12249-009-9282-6

Additionally, MTT assays using Vero cells with HSD and HST were performed and both compounds demonstrated a good tolerability page 25 lines 652 to 655.

Comment 5

It would be useful for the authors to measure cytotoxicity levels of HSD and HST on relevant human cell in vitro using the compound doses tested in this paper.

Response 5

Thank you for the comment, MTT assays were performed using Vero cells with HSD and HST. The results are shown in Fig. 8, pages 24 and 25 lines 645 to 655.

Comment 6

Statistics should be added to figure 2.

Response 6

We changed accordingly the figure 2.

Minor Comments:

Comment 1

Line 103/104: should be written to treat co-infections?

Response 1

We changed the sentence “Currently no appropriate antiviral treatment for CHIKV and/or ZIKV infection is available, neither to treat co-infections caused by these viruses” to “Currently, neither any appropriate antiviral treatment for CHIKV and/or ZIKV infection is available, nor for treatment of co-infections caused by these viruses”.

Comment 2

Some information about the strains the CHIKV and ZIKV recombinant proteins come from should be provided in the methods.

Response 2

We included the missing information for ZIKV (Page 5 lines 137 to 138) and CHIKV (Page 6 lines 144 to 145) strains.

Comment 3

For ZIKV protease inhibition what is the % activity observed required to call a compound a hit. A positive and negative control compound would be helpful to interpret the results.

Response 3

Figure 2 shows the results of an inhibition activity experiment used to evaluate the minimum inhibition of the proteases in a settled concentration of the molecules (in our case we have used 20 µM). In the first screening (data not shown), molecules that showed inhibition greater than 25 % were selected for subsequent experiments, for example, IC50.

We used then the determined IC50 values to compare them with other inhibitor molecules already described in the literature, where we demonstrate the potential of both studied compounds and the ligand efficiency for them (Table 1). We are the opinion that the combination of inhibition, affinity and low cytotoxicity make both molecules interesting to be used as lead molecules.

******************************************************************************

Reviewer 2

Comment 1

For the molecular dynamics simulations, replicates are missing to show reproducibility and reliability. In addition, RMSF and RMSD plots (supplementary figure 6) suggest potential problems with the simulations as the RMSDs look erratic and RMSFs are too high.

Response 1

RMSF and RMSD plots in supplementary figures were corrected accordingly.

Replicates of ZIKV-HST, CHIKV-HST and CHIKV-HSD complexes were performed. The general information of MD simulation (duplicates) are included in the supplementary figures 10 to 12. Additionally, structural overlays of the corresponding ligand binding areas are included in figures 5 and 6 (pages 21 and 22). For ZIKV-HST, the simulation reproduces the position of HST and the involved amino acids (RMSD between both representative structures: 1.475 Å). In CHIKV-HST, the position of HST changes slightly between both simulations, but stay in the same pocket. Lys89 form a hydrogen bond in both simulations (RMSD between both representative structures: 1.259 Å). In CHIKV-HSD complex, the position of HSD also changes slightly between both MD simulations, nevertheless, the molecules kept in the same pocket site and not altering the amino acids that interact with the molecule, except for Met240 that, in run2, is not forming any more a hydrogen bond with the ligand. The other amino acids, which are involved in hydrogen bonds, Glu48, Val75 and Tyr77 are the matching between simulations.

The duplicate simulations validate the binding of the molecules, and demonstrate the high probability that HST or HSD might interact in the proposed regions.

The running time for the MD simulations was 200 ns, which is longer when compared with several publications in the same field (examples, see below):

200 ns

https://doi.org/10.1038/s41598-019-42935-y

150 ns

https://doi.org/10.1080/07391102.2015.1046934

https://doi.org/10.1016/j.jmgm.2017.03.002

100 ns

https://doi.org/10.1016/j.lfs.2020.118080

50 ns

https://doi.org/10.1080/07391102.2020.1808077

We assume that the experimental time (200 ns) in combination with the replicates demonstrate the reproducibility and reliability of our results.

Comment 2

Replicates for determining IC50 values (Figure S1) are not shown and the curves do not reach saturation, decreasing the reliability of the values calculated.

Response 2

The IC50 determination are based on triplicates (which was also already stated in the material and methods section). The IC50 curves in Fig S3 are based on mean value of the three replicates ± SD. A supplementary file with the experimental data was added accordingly.

Comment 3

Binding of inhibitor to the proposed site is not confirmed by either experimental mutagenesis or other methods.

Response 3

Yes, that is true. However, that was not our scientific question. We would like to identify inhibitor molecules from natural source that would be able to inhibit the protease and works as a lead molecule. By inhibition assays, inhibition mode and in silico binding interaction studies we were able to characterize and describe the inhibition mode of two citrus flavonoids. We suggested possible binding regions using MD simulations. We make clear in the manuscript that the binding regions we are showing have a potential to bind the ligands, but experimental methods are necessary to confirm the suggestion.

Comment 4

Number of experimental replicates (and associated error bars) are not stated in most cases.

Response 4

Actually, the number of experimental replicates were stated in the material and methods section. However, we included accordingly the number of experimental replicates and associated error bars in the figures, figure descriptions and main text.

Comment 5

The source and purity of inhibitors tested are not provided.

Response 5

We added the source and purity of the commercially purchased compounds (Page 7 lines 172 to 173).

Comment 6

The protein purity and molecular weight is not confirmed.

Response 6

We changed accordingly and included in the Results and Discussion section “Preparation of ZIKV NS2B/NS3pro and CHIKV nsP2pro” (Page 14 lines 364 to 368). Additionally figures were included in the supplementary material, S1 and S2 Figs.

Comment 7

Description of equation (4) in Methods is unclear and inconsistent as some terms are defined as “percentage” while others as “amount” or “concentration” and how fluorescence units are converted to concentration (without measuring minimum or background) is not clear.

Response 7

The description of equation (4) was corrected accordingly. Actually, we measured minimum or background, as described in the material and methods section “All spectra were corrected for background intensities by subtracting the spectra of pure solvent measured under identical conditions”.

Comment 8

The reasoning behind fitting the same data to both equation (4) and (5) is not justified, and the parameters (m, n) from the fit are not reported.

Response 8

We included the missing information accordingly.

Comment 9

Using equation (6) requires justification or assumption of cooperative or 1-step unfolding.

Response 9

We assumed a 1-step unfolding, described in the material and method section, page 10, lines 267 to 268.

Comment 10

Control simulations with no-ligand bound protease are needed as changes seen (for example in secondary structure content) may be due to crystal contacts.

Response 10

Two independent MD simulations of CHIKV nsP2pro and ZIKV NS2B/NS3pro were performed. The general information of the MD simulations are shown in the supplementary figures S8 (ZIKV) and S9 (CHIKV). The RMSD of the ZIKV representative structures of run1 and run2 was 1.191. The RMSD of the CHIKV representative structures of run1 and run2 was 1.777.

Comment 11

Line 459: the conclusion that allosteric binding would change catalytic site conformation cannot be drawn from the results as there is no data to support this.

Response 11

We suggested that the binding of HST to the possible ZIKV NS2B/NS3pro allosteric site influence the active site. We added the following sentence; “Additional experiments are needed to confirm this assumption.” (Page 21, line 538).

Comment 12

Relation between Ki and IC50 depends on the inhibition mechanism (among other things) and Equation 2 is for competitive inhibition, so should not be used for noncompetitive inhibition here.

Response 12

Equation 2 and the corresponding Ki values were removed from the manuscript accordingly.

1. Has the statistical analysis been performed appropriately and rigorously?

Comment 1

Major: Statistical rigor is lacking especially for reproducibility of MD results, and error analysis for Kd and IC50 determination as well as fluorescence measurements. The very short section on Statistical analysis says P values less than 0.05 were considered significant.

Response 1

We corrected accordingly.

Comment 2

Minor: Significance of reported changes in secondary structure elements (lines 438) is not known. Error analysis and comparison with apo controls are needed to be able to draw these conclusions.

Response 2

We corrected accordingly.

Comment 3

Have the authors made all data underlying the findings in their manuscript fully available?

The data points behind experimental measurement results are not provided.

Response 3

We included additional Data in the supplementary material accordingly.

Comment 4

Is the manuscript presented in an intelligible fashion and written in standard English?

The manuscript would benefit from copyediting to improve readability.

Response 4

The manuscript was copyedited by Dr. Nivedita Cukkemane to improve the readability.

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 1

Bryan Mounce

18 Jan 2021

In vitro study of Hesperetin and Hesperidin as inhibitors of Zika and Chikungunya virus proteases

PONE-D-20-32447R1

Dear Dr. Eberle,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

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Kind regards,

Bryan Mounce, Ph.D.

Academic Editor

PLOS ONE

Acceptance letter

Bryan Mounce

19 Feb 2021

PONE-D-20-32447R1

In vitro study of Hesperetin and Hesperidin as inhibitors of Zika and Chikungunya virus proteases

Dear Dr. Eberle:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

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on behalf of

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Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Fig. Preparation of ZIKV NS2B/NS3pro.

    Expression and purification of ZIKV NS2B/NS3pro. The ZIKV NS2B/NS3pro construct consists of 266 amino acids with a molecular weight of 28.68 kDa. The protein presented a single band on a denaturing SDS-PAGE gel with an apparent molecular mass of approximately 30 kDa. A: SDS-PAGE analysis of ZIKV NS2B/NS3pro solubility test. M: Protein marker, P: cell pellet, SN: supernatant. B: SDS-PAGE analysis of ZIKV NS2B/NS3pro after NI-NTA purification. M: Protein marker, W1: washing step without imidazole, W2-W4: washing step with imidazole (10, 20, 40 mM), E1-E3: imidazole elution steps (80, 250, 500 mM). C: Chromatogram of size exclusion chromatography of ZIKV NS2B/NS3pro. D: SDS-PAGE of ZIKV NS2B/NS3pro after size exclusion chromatography.

    (TIF)

    S2 Fig. Preparation of CHIKV nsP2pro.

    Expression, purification and CD spectrum after the preparation process of CHIKV nsP2pro. The CHIKV nsP2pro construct consists of 346 amino acids with a molecular weight of 39.38 kDa. The protein presented a single band on a denaturing SDS-PAGE gel with an apparent molecular mass of approximately 40 kDa. A: SDS-PAGE analysis of CHIKV nsP2pro solubility test. M: Protein marker, P: cell pellet, SN: supernatant. B: SDS-PAGE analysis of CHIKV nsP2pro after NI-NTA purification. M: Protein marker, W1: washing step without imidazole, W2-W3: washing step with imidazole (10, 40 mM), E1-E2: imidazole elution steps (250, 500 mM). C: Chromatogram of size exclusion chromatography of CHIKV nsP2pro. D: SDS-PAGE of CHIKV nsP2pro after size exclusion chromatography.

    (TIF)

    S3 Fig. Citrus plant flavonoids with inhibitory activity against ZIKV NS2B/NS3pro and CHIKV nsP2pro.

    Dose response curve for (A and B) HST and (C) HSD. Half maximum inhibitory concentration (IC50) values were determined by nonlinear regression using 20 µM substrate (ZIKV NS2B/NS3pro), 3 µM substrate (CHIKV nsP2pro), 3 nM ZIKV NS2B/NS3pro, 1 µM CHIKV nsP2pro, with varying concentrations of the inhibitors. Data shown are the means ± SD from three independent measurements (n = 3). S1 Data contain the underlying data for the IC50 value determination.

    (TIF)

    S4 Fig. Fluorescence spectroscopy of Trp at 295 nm of ZIKV NS2B/NS3pro and CHIKV nsP2pro in the presence ligands.

    HST and HSD titration experiments. Data shown are the means ± SD from three independent measurements (n = 3). A: Fluorescence of ZIKV NS2B/NS3pro under influence of HST titration demonstrated a red excitation shift of visible Trp (*). B: Binding saturation curve and modified Hill equation determined a KD value of 17.8 ± 2.9 µM for the ZIKV NS2B/NS3pro-HST interaction. C: Fluorescence of CHIKV nsP2pro under influence of HSD titration. D: Binding saturation curve and modified Hill equation determined a KD value of 40.7 ± 2.0 µM for the CHIKV nsP2pro-HSD interaction. E: Fluorescence of CHIKV nsP2pro under influence of HST titration demonstrated a red excitation shift of visible Trp (*). F: Binding saturation curve and modified Hill equation determined a KD value of 31.6 ± 2.5 µM for the CHIKV nsP2pro-HST interaction.

    (TIF)

    S5 Fig. KD determination using a modified Hill equation.

    Based on fluorescence spectroscopy of Trp at 295 nm of ZIKV NS2B/NS3pro and CHIKV nsP2pro in the presence ligands. Intersection with x-axis corresponds to the logarithmic value of the KD. A: ZIKV NS2B/NS3pro-HST interaction. B: CHIKV nsP2pro-HSD interaction. C: CHIKV nsP2pro-HST interaction.

    (TIF)

    S6 Fig. Thermal denaturation of ZIKV NS2B/NS3pro and CHIKV nsP2pro using fluorescence spectroscopy.

    Data shown are the means ± SD from three independent measurements (n = 3). A: Fluorescence spectra during thermal denaturation of ZIKV NS2B/NS3pro. B: Plot of the native protein fraction (fN) and the unfolding protein fraction (fU), during thermal denaturation from 20 to 85°C. With increasing temperature fN decrease and fU increase, on the intersection of both curves the melting temperature (Tm) of 43°C was determined for ZIKV NS2B/NS3pro. C: Fluorescence spectra during thermal denaturation of CHIKV nsP2pro. D: Plot of the native protein fraction (fN) and the unfolding protein fraction (fU), during thermal denaturation from 20 to 85°C. The melting temperature (Tm) of 47°C was determined for CHIKV nsP2pro.

    (TIF)

    S7 Fig. Thermal denaturation of ZIKV NS2B/NS3pro and CHIKV nsP2pro-HST and -HSD complexes using fluorescence spectroscopy.

    Data shown are the means ± SD from three independent measurements (n = 3). A: Fluorescence spectra during thermal denaturation of ZIKV NS2B/NS3pro-HST complex. B: Plot of the native protein fraction (fN) and the unfolding protein fraction (fU), during thermal denaturation from 20 to 85°C. The melting temperature (Tm) of 43°C was determined for ZIKV NS2B/NS3pro and for the ZIKV NS2B/NS3pro-HST complex the Tm increased to 49°C. C: Fluorescence spectra during thermal denaturation of CHIKV nsP2pro-HST complex. D: Plot of the native protein fraction (fN) and the unfolding protein fraction (fU), during thermal denaturation from 20 to 85°C. The melting temperature (Tm) of 47°C was determined for CHIKV nsP2pro and for the CHIKV nsP2pro-HST complex the Tm increased to 55°C. E: Fluorescence spectra during thermal denaturation of CHIKV nsP2pro-HSD complex. F: Plot of the native protein fraction (fN) and the unfolding protein fraction (fU), during thermal denaturation from 20 to 85°C. The melting temperature (Tm) of 43°C was determined for CHIKV nsP2pro and for the CHIKV nsP2pro-HSD complex the Tm changed to 52°C.

    (TIF)

    S8 Fig. Time dependent modifications during MD simulation of ZIKV NS2B/NS3pro.

    RMSD, RMSF, RoG and surface area changes over 200 ns of two independent MD runs. ZIKV NS2B (blue) and ZIKV NS3pro (green). The ZIKV NS2B cofactor is a small loop and is very flexible, which explain the bigger RoG and smaller surface area compared with NS3pro. A: MD run1, B: MD run2.

    (TIF)

    S9 Fig. Time dependent modifications during MD simulation of CHIKV nsP2pro.

    RMSD, RMSF, RoG and surface area changes over 200 ns of two independent MD runs. CHIKV nsP2pro MD run1 (dark blue) and CHIKV nsP2pro MD run2 (green).

    (TIF)

    S10 Fig. Time dependent modifications during MD simulation of ZIKV NS2B/NS3pro-HST.

    RMSD, RMSF, RoG and surface area changes over 200 ns of two independent MD runs. ZIKV NS2B (blue), ZIKV NS3pro (green) and HST (black). RMSD as function of time. A: ZIKV NS2B/NS3pro-HST MD run1. B: ZIKV NS2B/NS3pro-HST MD run2.

    (TIF)

    S11 Fig. Time dependent modifications during MD simulation of CHIKV nsP2pro-HST.

    RMSD, RMSF, RoG and surface area changes over 200 ns of two independent MD runs. RMSD as function of time. A: CHIKV nsP2pro-HST MD run1, CHIKV nsP2pro (dark blue) and HST (red). B: CHIKV nsP2pro-HST MD run2, CHIKV nsP2pro (green) and HST (pink).

    (TIF)

    S12 Fig. Time dependent modifications during MD simulation of CHIKV nsP2pro-HSD.

    RMSD, RMSF, RoG and surface area changes over 200 ns of two independent MD runs. RMSD as function of time. A: CHIKV nsP2pro-HSD MD run1, CHIKV nsP2pro (dark blue) and HSD (red). B: CHIKV nsP2pro-HSD MD run2, CHIKV nsP2pro (green) and HSD (pink).

    (TIF)

    S13 Fig. Structural model of ZIKV NS2B/NS3pro after MD simulations with and without HST, RMSF and secondary structure changes.

    ZIKV NS2B/NS3pro: NS3pro in rosé, NS2B in cyan, ZIKV NS2B/NS3pro-HST: NS3pro in gray, NS2B in blue and HST in yellow. Secondary structure changes highlighted in red. A: Overlay of the RMSF of ZIKV NS2B/NS3pro with and without HST. B: Secondary structure changes over 200 ns of ZIKV NS2B/NS3pro with and without HST. I-IV labels small changes in the secondary structure. C: Structural overlay of ZIKV NS2B/NS3pro with and without HST. Secondary structure changes highlighted in red and the number code. Right panel: Zoom view on the secondary structure changes.

    (TIF)

    S14 Fig. Structural model of CHIKV nsP2pro after MD simulations with and without HST and HSD, RMSF and secondary structure changes.

    CHIKV nsP2pro: protease domain in violet, methyl transferase domain in cyan, CHIKV nsP2proHST/HSD: protease domain in gray, methyl transferase domain in green, HST/HSD in yellow. A: Overlay of the RMSF of CHIKV nsP2pro with and without HSD and HST. B: Secondary structure changes over 200 ns of CHIKV nsP2pro with and without HSD and HST. I-VI labels small changes in the secondary structure. C: Structural overlay of CHIKV nsP2pro with and without HSD and HST. Secondary structure changes highlighted in red and the number code. Right panel: Zoom view on the secondary structure changes.

    (TIF)

    S15 Fig. Atom numbers of HST and HSD.

    A: HST and B: HSD.

    (TIF)

    S16 Fig. ZIKV NS2B/NS3pro and CHIKV nsP2pro allosteric sites.

    Surface view of the protease structures and the ligands. A: ZIKV NS2B/NS3pro-HST complex. NS2B is colored in blue, NS3pro in gray, HST in yellow, active site in green and allosteric site in red. B: CHIKV nsP2pro-HST complex. Protease domain is colored in gray, methyltransferase domain in green, HST in yellow, active site in blue and allosteric site in red. C: CHIKV nsP2pro-HSD complex. Protease domain is colored in gray, methyltransferase domain in green, HSD in yellow, active site in blue and allosteric site in red.

    (TIF)

    S17 Fig. Plaque reduction assay to determine the antiviral effect of HST and HSD against ZIKV and CHIKV.

    Data shown are the means ± SD from three independent measurements (n = 3). There were no antiviral activities of HST and HSD observable. Virus control (black) and two inhibitor concentrations (grey). A: ZIKV under HST influence. B: CHIKV under HST influence and C: CHIKV under HSD influence.

    (TIF)

    S1 Table. Drugs or inhibitors affecting flavivirus and alphavirus proteases or other virus target proteins.

    (DOCX)

    S2 Table. Contributing amino acids in the Substrate-binding sites of ZIKV NS2B/NS3pro and CHIKV nsP2pro.

    (DOCX)

    S1 Data

    (XLSX)

    Attachment

    Submitted filename: Eberle et al Plos one review.docx

    Attachment

    Submitted filename: Response to Reviewers.docx

    Data Availability Statement

    All relevant data are within the paper and its Supporting Information files.


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