Abstract
Spectinomycin, an aminocyclitol antibiotic, is subject to inactivation by aminoglycoside modifying enzymes (AMEs) through adenylylation or phosphorylation of the 6-hydroxy group position. In this study, the effects of deoxygenation of the 2- and 6-hydroxy group positions on the spectinomycin actinamine ring are probed to evaluate their relationship to ribosomal binding and the antimicrobial activities of spectinomycin, semisynthetic aminomethyl spectinomycins (amSPCs), and spectinamides. To generate these analogs, an improved synthesis of 6-deoxyspectinomycin was developed using the Barton deoxygenation reaction. 6-Dehydrospectinamide was also synthesized from spectinamide 4 to evaluate the H-bond acceptor character on the C-6 position. All the synthesized analogs were tested for antibacterial activity against a panel of Gram (+) and Gram (−) pathogens, plus Mycobacterium tuberculosis. The molecular contribution of the 2- and 6-hydroxy group and the aryl functionalities of all analogs were examined by measuring inhibition of ribosomal translation and molecular dynamics experiments with MM/GBSA analysis. The results of this work indicate that the 6-hydroxy group, which is the primary target of AMEs, is a required motif for antimicrobial activity in current analogs. Removal of the 6-hydroxy group could be partially rescued by offsetting ribosomal binding contributions made by the aryl side chains found in the spectinamide and amSPCs. This study builds on the knowledge of the structure–activity relationships of spectinomycin analogs and is being used to aid the design of next-generation spectinomycins.
Subject terms: Antibiotics, Structure-based drug design
Introduction
Spectinomycin, an aminoinositol antibiotic [1, 2], is an inhibitor of bacterial protein synthesis (IC50 = 0.4 μg ml−1) with moderate broad-spectrum activity against both Gram (+) and Gram (−) bacteria (Fig. 1a). Spectinomycin binds to the interface between the minor groove of helix-34 of the 16S ribosomal RNA and the RpsE protein to inhibit protein translation [3]. Clinically, spectinomycin has been widely used to treat Neisseria gonorrheal infections [4] and is well tolerated at a high dosage, lacking the ototoxicity commonly associated with aminoglycoside antibiotics [5]. However, spectinomycin is subject to native efflux [6, 7], target modification [8], and enzymatic inactivation of the drug [8, 9]. Therefore, to overcome innate resistance mechanisms, we developed semisynthetic analogs of spectinomycin called spectinamides [10] and aminomethyl spectinomycins (amSPCs) [11]. The spectinamides have excellent narrow spectrum antitubercular activity, and the amSPCs have broad-spectrum activity against the common respiratory tract, sexually transmitted and biothreat bacterial pathogens (Fig. 1b, c) [12–14]. These analogs have improved bacterial accumulation, with the spectinamides overcoming efflux by the Rv1258c transporter found in Mycobacterium tuberculosis which transports spectinomycin [10]. While these analogs overcome the resistance from efflux pumps, they are still subject to modification by aminoglycoside modifying enzymes (AMEs) in non-mycobacterial pathogens, which limits their development for broader indications, particularly for the treatment of Gram-negative infections [15, 16]. One strategy to alleviate AME resistance is to remove the sites of inactivation found on aminoglycosides [17]. Spectinomycin is susceptible to inactivation by nucleotidyltransferases ANT(9) [18] and the bifunctional enzyme ANT(3,9), as well as phosphorylation by the APH(9) enzyme, which all modify the 6-hydroxy group position of spectinomycin [15, 16, 19]. Previously, several deoxyspectinomycins were synthesized by researchers at Hoffmann-La Roche Inc. and were found to be microbiologically inactive [20–22]. However, it was unknown if the inactivity is due to lack of ribosomal binding or poor accumulation. As part of our systematic approach to develop the structure–activity relationship (SAR) around the spectinomycin ring, we chose to reinvestigate the antimicrobial properties of deoxyspectinomycin analogs and to evaluate their ability to inhibit bacterial ribosomes, which has not been previously reported.
In this study, we examine whether modifications to the 2- and 6-hydroxy groups in spectinomycin, spectinamides, and amSPCs (Fig. 2) can be tolerated, how modification or removal of these groups affects antibacterial potency, ribosome inhibition, and cellular accumulation, and finally, computationally examine the relative binding contributions of these motifs in the ribosome binding site. We report an improved synthesis of 6-deoxyspectinomycin using Barton’s radical deoxygenation reaction as the key step [23] and demonstrate an efficient synthesis of 6- and 2-deoxyspectinamides and 6-deoxyaminomethyl spectinomycin (6-deoxy-amSPC) analogs [21]. 6-epi-chlorospectinomycins and 6-dehydrospectinamide were also synthesized to examine hydrogen bonding acceptor character to the ribosome (Fig. 3). The antimicrobial activity and cellular accumulation of the analogs were determined, and the energetic contribution of key binding interactions was examined computationally. Results from these studies are combined to provide a holistic picture of the value of the 2- and 6-hydroxy groups to spectinomycin binding and antimicrobial activity.
Material and methods
Chemicals, reagents, and instrumental
Spectinomycin dihydrochloride pentahydrate was purchased from Waterstone Technology (catalog number 81249, CAS number 22189-32-8, 95% in purity). All solvents used for chromatography and liquid chromatography were purchased from Aldrich. Flash column chromatography silica cartridges were obtained from Biotage Inc. Reactions were monitored by thin-layer chromatography on pre-coated Merch 60 F254 silica gel plates and visualized using UV light (254 nm). IR (neat) spectra were obtained using a Nicolet-iS5 FT-IR instrument. A Biotage FLASH column chromatography system was used to purify mixtures. 1H NMR spectra were recorded on a Varian INOVA-500 spectrometer or on a Bruker 400 MHz NMR spectrometer. Chemical shifts (δ) are reported in parts per million relative to the residual solvent peak or internal standard (tetramethylsilane), and coupling constants (J) are reported in hertz (Hz). High-resolution mass spectra were recorded on a Waters Xevo G2 QTOF LC–MS using ESI. Purity of the products was confirmed by UPLC/MS (the Waters Acquity). Spectral data for final compounds is given below, and data for intermediates are provided in Supplementary information.
Chemical synthesis
6-Deoxyspectinomycin dihydrochloride (5)
To a solution of cbz protected 6-deoxyspectinomycin 16 [20] (0.080 g, 0.136 mmol) in 1 M HCl in MeOH (3 ml) was added Pd/C (30 mg) at room temperature and the reaction mixture was hydrogenated for 30 min under H2 atmosphere (H2 Balloon). Excess catalyst was filtered off and the evaporation, washing with acetone (5 ml) and EtOAc (5 ml) gave pure product 5 as a white solid. Yield: 0.060 g, 81%; 1H NMR (500 MHz, D2O) δ 4.76 (s, 1H), 4.57 (s, 1H), 4.18 (t, J = 10.5 Hz, 1H), 4.07 (td, J = 11.3, 4.0 Hz, 1H), 3.92 (q, J = 6.6 Hz, 1H), 3.40–3.32 (m, 2H), 3.28 (s, 3H), 2.77–2.74 (m, 1H), 2.71 (s, 3H), 1.89–1.72 (m, 3H), 1.17 (d, J = 6.2 Hz, 3H); 13C NMR (125 MHz, D2O) δ 93.8, 93.4, 92.0, 68.4, 67.8, 65.2, 61.1, 59.0, 56.0, 41.5, 30.6, 30.0, 25.5, 19.6. HRMS (ESI) m/z calcd for C14H25N2O6 [M + H]+, 317.1713; found, 317.1712.
6-Deoxy-3′-deoxy-3′-dihydro-3′(R)-[(pyridin-2-yl)acetylamino]spectinomycin dihydrochloride (6)
Compound 6 was synthesized analogously as 5 from 17, as a white solid. Yield: 0.017 g (95%); IRυmax (neat): cm−1 3363, 2973, 1656,1561, 1467, 1166, 1064; 1H NMR (500 MHz, D2O) δ 8.66 (d, J = 5.8 Hz, 1H, Ar-H), 8.47 (t, J = 8.0 Hz, 1H, Ar-H), 7.95–7.84 (m, 2H, Ar-H), 4.90 (s, 1H), 4.56 (s, 1H), 4.26 (t, J = 10.4 Hz, 1H), 4.17–3.96 (m, 5H), 3.37 (d, J = 11.6 Hz, 2H), 2.73 (s, 3H), 2.71 (s, 3H), 2.15 (dd, J = 10.6, 6.7 Hz, 1H), 1.83 (t, J = 13.5 Hz, 2H), 1.69 (d, J = 14.6 Hz, 1H), 1.18 (d, J = 6.0 Hz, 3H); 13C NMR (125 MHz, D2O) δ 169.0, 149.2, 146.9, 141.4, 128.3, 125.8, 93.2, 90.2, 68.0, 67.8, 65.3, 61.6, 58.7, 55.9, 52.3, 39.2, 34.1, 30.6, 30.5, 25.4, 19.8; HRMS (ESI) m/z calcd for C21H33N4O6 [M + H]+, 437.2400; found, 437.2393.
6-Deoxy-3′-dihydro-3′(R)-[(4-fluorobenzyl)aminomethyl]spectinomycin trihydrochloride (7)
Compound 7 (0.011 g, 70%) was synthesized analogously as 6 from 24, as a white solid. Yield: 0.011 g (70%); [α]D28 + 0.072 (c 0.15, CH3OH); MP: 211.1–211.8; IRυmax (neat): cm−1 3358, 2974, 1603, 1513, 1460, 1163, 1081; 1H NMR (500 MHz, D2O) δ 7.46–7.43 (m, 2H, Ar-H), 7.17–7.14 (m, 2H, Ar-H), 4.67 (s, 1H), 4.58 (s, 1H), 4.27 (d, J = 13.5 Hz, 1H), 4.20 (d, J = 13.6 Hz, 1H), 4.18–4.02 (m, 2H), 3.68 (dq, J = 12.3, 6.1 Hz, 1H), 3.47–3.26 (m, 3H), 3.13 (d, J = 13.7 Hz, 1H), 2.73 (s, 3H), 2.71 (s, 3H), 2.14 (dt, J = 8.8, 4.3 Hz, 1H), 1.88–1.63 (m, 3H), 1.14 (d, J = 5.9 Hz, 3H); 13C NMR (125 MHz, D2O) δ 163.2 (d, J = 247.0 Hz, C-F), 132.3, 132.2, 125.9, 116.3, 116.1, 93.4, 92.5, 72.2, 67.5, 67.4, 65.0, 61.2, 58.8, 55.9, 50.8, 48.9, 40.1, 30.5, 30.2, 25.4, 19.8; 19F NMR (D2O, 375 MHz) δ −112.0; HRMS (ESI) m/z calcd for C22H35FN3O6 [M + H]+, 456.2510; found, 456.2510.
6-Epi-chloro-6-deoxyspectinomycin dihydrochloride (8)
Compound 8 was synthesized from cbz-spectinomycin [24]. Yield: 0.012 g (42%); 1H NMR (500 MHz, D2O) δ 4.93 (s, 1H), 4.75–4.73 (m, 1H); 4.66 (t, J = 10.6 Hz, 1H), 4.44 (dd, J = 10.5, 3.5 Hz, 1H), 4.05–3.99 (m, 1H), 3.93–3.81 (m, 1H), 3.54 (dd, J = 11.0, 3.3 Hz, 1H), 2.89 (s, 3H), 2.84–2.83 (m, 1H), 2.81 (s, 3H), 1.95–1.80 (m, 2H), 1.26 (d, J = 6.3 Hz, 3H); 13C NMR (125 MHz, D2O) δ 93.8, 93.4, 91.7, 68.6, 66.5, 63.0, 61.6, 58.8, 56.8, 54.4, 41.5, 30.5, 30.2, 19.5. HRMS (ESI) m/z calcd for C14H24ClN2O6 [M + H]+, 351.1323; found, 351.1329.
2-Deoxyspectinomycin dihydrochloride (9)
Compound 9 [21] was synthesized analogously as 5 from 20, as a white solid. Yield: 0.010 g (80%) 1H NMR (500 MHz, D2O) δ 4.77 (s, 1H), 4.04 (t, J = 10.3 Hz, 1H), 3.96–3.88 (m, 2H), 3.74 (t, J = 10.2 Hz, 1H), 3.46 (t, J = 11.6 Hz, 1H), 3.22 (t, J = 10.2 Hz, 1H), 2.70 (s, 3H), 2.68 (s, 3H), 2.63–2.57 (m, 1H), 1.81–1.68 (m, 3H), 1.15 (d, J = 6.1 Hz, 3H); 13C NMR (125 MHz, D2O) δ 93.5, 93.4, 91.6, 69.9, 68.4, 68.2, 68.0, 57.3, 54.3, 41.5, 30.1, 29.7, 23.3, 19.6; HRMS (ESI) m/z calcd for C14H25N2O6 [M + H]+, 317.1713; found, 317.1713.
2-Deoxy-3′-deoxy-3′-dihydro-3′(R)-[(pyridin-2-yl)acetylamino]spectinomycin dihydrochloride (10)
Compound 10 was synthesized analogously as 6 from 21, as a white solid. Yield: 0.010 g (79%); IRυmax (neat): cm−1 3350, 2974, 1648, 1564, 1466, 1168, 1063; 1H NMR (500 MHz, D2O) δ 8.66 (d, J = 5.9 Hz, 1H), 8.48 (t, J = 8.0 Hz, 1H), 8.05–7.81 (m, 2H), 4.93 (s, 1H), 4.27–3.89 (m, 6H), 3.77 (q, J = 9.9, 9.2 Hz, 1H), 3.50 (td, J = 11.5, 4.1 Hz, 1H), 3.25 (ddd, J = 14.1, 10.2, 4.3 Hz, 1H), 2.72 (s, 3H), 2.71 (s, 3H), 2.68–2.56 (m, 1H), 1.86–1.68 (m, 3H), 1.18 (d, J = 5.7 Hz, 3H); 13C NMR (125 MHz, D2O) δ 166.3, 146.5, 146.4, 144.4, 138.7, 125.7, 123.1, 90.3, 87.3, 67.4, 65.6, 65.3, 54.6, 51.4, 49.5, 36.5, 31.5, 27.4, 20.9, 17.1, 11.1; HRMS (ESI) m/z calcd for C21H33N4O6 [M + H]+, 437.2400; found, 437.2401.
6-Dehydro-3′-deoxy-3′-dihydro-3′(R)-[(5-hydroxypyridin-2-yl)acetylamino]spectinomycin trihydrochloride (11)
To a mixture of dimethylsulfoxide (5 ml), dry benzene (5 ml), dicyclohexyl carbodiimide (0.320 g, 1.560 mmol), and pyridinium trifluoroacetate (0.050 g, 0.260 mmol) was added 25 [25] (0.430 g, 0.520 mmol). The mixture was stirred at 50 °C for 4 h. The reaction mixture was then poured into 100 ml of ethyl acetate and 100 ml of water with stirring, the insoluble dicyclohexyl urea was removed by filtration, and the ethyl acetate phase was washed with water and dried over Na2SO4. After removing solvent, the residue was purified by C18 chromatography (H2O/CH3CN), and 200 mg (47%) white solid was obtained as 6-dehydro-cbz-25. 6-Dehydro-cbz-25 (157 mg, 0.190 mmol) was mixed with 10% Pd/C (20 mg) and 1 M HCl in MeOH (1 ml) in MeOH (10 ml), the mixture was hydrogenated at room temperature for 4 h. Pd/C was removed and then the filtrate was dried under vacuum to yield 11 as a white solid. Yield: 0.080 g (73%); IRυmax (neat): cm−1 3254, 2923, 2850, 1651, 1552, 1495, 1168, 1067;1H NMR (400 MHz, D2O) δ 8.29 (d, J = 2.8 Hz, 1H), 8.02–7.93 (m, 1H), 7.75 (d, J = 8.9 Hz, 1H), 5.14–5.04 (m, 1H), 4.61–4.49 (m, 1H), 4.30–4.03 (m, 6H), 3.60 (dd, J = 11.2, 3.2 Hz, 1H), 3.51–3.35 (m, 1H), 2.94–2.84 (m, 6H), 2.03–1.85 (m, 1H), 1.88–1.71 (m, 1H), 1.29 (dd, J = 6.1, 4.2 Hz, 3H); 13C NMR (125 MHz, D2O) δ 169.6, 169.5, 154.9, 140.3, 133.5, 133.5, 129.2, 129.2, 129.0, 128.9, 94.1, 93.9, 93.2, 93.0, 92.2, 92.1, 90.2, 90.0, 89.8, 71.8, 70.8, 69.9, 68.4, 67.2, 64.7, 61.8, 60.1, 58.3, 57.8, 54.0, 52.2, 48.8, 38.2, 34.1, 30.8, 30.7, 30.2, 30.0, 19.8, 19.8. HRMS (ESI) m/z calcd for C21H31N4O8 [M + H]+, 467.2142; found, 467.2144.
Molecular modeling
Mycobacterial RNA-RpsE protein complex generation
The molecular docking and molecular dynamics studies of spectinomycin and spectinomycin analogs were performed using a comparative model of the M. tuberculosis RNA-RpsE protein complex prepared using the Escherichia coli complex as a template. The Mycobacterial RpsE proteins (M. tuberculosis and Mycobacterium smegmatis) have a high degree of homology, with 89% sequence similarity. The differences in the RpsE protein sequences lie outside the spectinomycin binding site on the RpsE loop (Fig. 4). Therefore, the M. tuberculosis RpsE protein sequence was used to create a Mycobacterial RNA-RpsE protein complex for molecular modeling of both species. The E. coli RpsE protein structure (PDB ID: 4V56 (2QOU)) served as the structural template to generate the model, 55% homology [26]. The model was created using Schrödinger’s Prime program [27, 28] and was validated in PROCHECK [29] with 2.7% residues allowed and 0% disallowed (data not shown). A sequence alignment of RpsE proteins from the Mycobacteria and E. coli revealed two amino acid differences located in the RpsE protein loop in the spectinomycin binding site: V55T and R61I (Fig. 4). Despite variations in the RpsE protein, the rRNA sequence found in the spectinomycin binding site is highly conserved between Mycobacteria and E. coli. To reduce the computational cost of subsequent molecular docking and molecular simulations, the complex model was truncated to a 20 Å sphere around the spectinomycin binding site. The Mycobacterial RNA-RpsE complex was protonated at pH 7.0 using PROPKA and was energy minimized with the OPLS3 force field [30, 31].
Ligand preparation
SMILES strings for spectinomycin and analogs were used to render 3D conformations of the compounds in Schrödinger. Minimum energy conformations of each analog were generated by LigPrep using the OPLS3 force field [30]. Specified chiralities were retained and the ionization states at a target pH 7.0 ± 2.0 were generated using Epik [32].
Receptor grid generation
For the molecular docking of spectinomycin and analogs, a receptor grid was generated using Schrödinger’s Glide program [33–35]. A cubic box was positioned in the center of the spectinomycin binding site. The inner box was set to 10 × 10 × 10 Å and the outer box was 30 × 30 × 30 Å. This larger box was designed to permit the docking of spectinamides and amSPCs in the binding site. The spectinomycin binding site determined by X-ray crystallography (PDB ID 2QOU) [26] revealed a series of hydrogen bond interactions from the rRNA nucleotides. Therefore, hydrogen bonding constraints were generated for residues G1064, C1066, G1068, A1191, C1192, and G1193 for a data-driven docking approach.
Glide standard precision molecular docking
All conformations generated from LigPrep were docked using Schrödinger’s Glide program [33–35]. Ligand sampling was flexible, and docked conformers were required to match at least one hydrogen bonding interaction from the constraints generated in the receptor grid. To soften the potential for nonpolar parts of the ligands, van der Waals (VDW) radii were scaled using a scaling factor of 0.80 for ligand atoms with a partial charge < 0.15 (default Glide settings). Post-docking minimization was performed on all poses generated by Glide using the OPLS3 force field prior to the assignment of Glide docking scores. Ligand poses with the highest ranked Glide scores were used to evaluate binding. The highest ranked analogs, 1 (spectinomycin), 2, 5, 6, 9, and 10, were advanced to molecular dynamics simulations.
Molecular dynamics
All molecular dynamic simulations were performed using AMBER18 [36] as previously described [25]. Briefly, the ff14SB and OL3 force field was used for the RNA and protein parameterization and the general Amber force field was used for parameterization of the ligand [37–39]. Restrained electrostatic potential charges within the ANTECHAMBER module in AMBER were applied to the positively charged spectinomycin, 2, 5, 6, 9, and 10 analogs. Sodium ions were applied to neutralize the charge of the system. The complex was solvated in a TIP3P octahedron box with a 10 Å boundary. An initial energy minimization of the solvated complex was performed with the complex fixed for 1000 steps, followed by a second step of energy minimization without restraints for 2500 steps. The minimized complex was equilibrated to 300 K over 250,000 steps for 500 ps with weak restraints applied to the complex (Fig. S1). The equilibrated structure was simulated for 20 ns with the NPT ensemble at 300 K with terminal residues harmonically restrained (Fig. S1). The energetic contributions during the MD simulations were calculated by the MM/GBSA [40] method using 1000 frames from the last 2 ns of the MD ensemble. Lastly, the free energy contributions to ligand binding were decomposed for analysis using a per-residue basis [40].
Ribosomal inhibition
Purified 70S M. smegmatis bacterial ribosomes were used in translation reactions. Firefly luciferase mRNA was produced in vitro using T7 RNA polymerase. Translation reactions were carried out as previously described [11]. The IC50 values represent the drug concentration that inhibits luciferase activity by 50%.
Bacterial strains and growth conditions
Strains were routinely grown with Mueller−Hinton broth at 37 °C with shaking at 225 rpm. Bacterial strains were obtained through ATCC or BEI Resources or from academic laboratories. The strains used were the following: Staphylococcus aureus ATCC 29213, S. aureus NRS70, Enterococcus faecalis ATCC 33186, E. faecium ATCC 19434, Streptococcus pyogenes ATCC 700294, Streptococcus pneumoniae R6, Acinetobacter baumannii ATCC 19606, Pseudomonas aeruginosa ATCC 15692, Klebsiella pneumoniae ATCC 700603, Proteus mirabilis ATCC 25933, Stenotrophomonas maltophilia ATCC 13637, Enterobacter cloacae ATCC 13047, Staphylococcus epidermidis ATCC 14990, E. coli K-12, and E. coli JW5503 (ΔtolC). The M. tuberculosis H37Rv strain was grown in Middlebrook 7H9 broth supplemented with 10% albumin-dextrose complex, 0.05% (v/v) Tween 80 at pH 7.4, (7H9/ADG pH 7.4) with shaking at 225 rpm at 37 °C.
Antibacterial susceptibility testing
Minimum inhibitory concentrations are determined following CLSI broth microdilution guidelines [41]. Briefly, experimental compounds (in DMSO) and control spectinomycin (Sigma Aldrich, DMSO) are serially diluted, twofold, across a 96-well round bottom plate in Mueller–Hinton II broth or 7H9/ADG pH 7.4 for M. tuberculosis H37Rv. Equal volume of bacterial strains of 5 × 105 CFU ml−1 was added to each well to give a final drug concentration starting at 200 μg ml−1. Plates were incubated for 18 h at 37 °C except M. tuberculosis H37Rv, which was incubated for 7 days at 37 °C. The MIC for all strains were determined as the lowest concentration to visually inhibit bacterial growth and are reported as the consensus of three independent experiments.
Whole-cell accumulation assay
Methods for this assay have been optimized from previously published studies [42, 43]. E. coli (BW25113 for WT or JW5503 for ΔtolC) is grown at 37 °C to mid-log phase (OD600 of 0.6−0.7) in Mueller–Hinton broth. The bacteria are pelleted and washed twice with PBS before being resuspended in 3.5 ml of PBS per 100 ml of cells cultured. Cells are allowed to equilibrate for 10 min at 37 °C prior to drugging. 1 ml of E. coli is incubated with a final concentration of 50 μM of compound (in DMSO) shaking at 37 °C for 10 min. 800 μl of treated cells is layered over supercooled (−78 °C) silicone oil (9:1 AR20 and high-temperature silicone oil, Sigma Aldrich) and pelleted to remove cells from free compound. For lysis, the pellets were resuspended in 200 μl of HPLC grade water and subjected to three freeze−thaw cycles using liquid nitrogen and a 65 °C water bath. Cell debris was separated from lysate by centrifugation, and 150 μl of extract is recovered. The pellet is resuspended in the remaining 50 μl of water, and once thoroughly resuspended, 100 μl of 5% TCA was added. The cells are once again pelleted, and lysates are combined. Lysates are pelleted at high speed for 10 min and then filtered through a 0.22 μm filter before injection for LC–MS/MS.
Samples are analyzed with a tandem Waters Acquity M Class series UPLC system and Xevo G2 QTOF tandem MS/MS with Zspray. 100 nl of extract was separated using a Phenomenex Kinetex 2.6 μm XB-C18, 100 Å (300 μm × 150 mm) column with solvent A, 0.1% formic acid in water, and solvent B, 0.1% formic acid in acetonitrile. The inlet method for these samples utilized a flow rate of 8 μl min−1 with the following gradient: 0−4 min, 99.9% solvent A and 0.1% solvent B; 4–5 min, 10% solvent A and 90% solvent B; 5–6 min, 99.9% solvent A and 0.1% solvent B. Tandem mass spectra were acquired with a cone voltage and collision energy optimized for each compound. High-resolution spectra were calibrated by co-infusion of 2 ng ml−1 leucine enkephalin lockspray (Waters). Data were quantified using Waters MassLynx software where the AUC was determined by integrating the corresponding daughter peak of the parent compound. Concentrations of the unknown compounds were determined by the linear fit of the corresponding standards. Concentrations are reported as the average of three biological replicates.
Results and discussion
Synthesis
Adapting literature procedures, compound 14 [22, 44] was synthesized from spectinomycin via catalytic hydrogenation of keto group, cbz protection of amines, and diacetonide protection diol. Deoxygenation at C-6 position in compound 14 was achieved efficiently by following Barton’s radical deoxygenation [23] method (Scheme 1). Thus, selective installation of imidazolyl thiocarbamate group on C-6-hydroxy group was carried out using 1,1′-thiocarbonyldimimidazole in the presence of catalytic amount of DMAP and treatment of thiocarbamate with tributyltin hydride and AIBN gave deoxygenated product 15 in good yields. An acetonide group was removed under 1 M HCl in methanol to give diol and selective oxidation of 4′-hydroxy group with IBX yielded cbz protected 6-deoxyspectinomycin 16. Lastly, compound 16 was converted to 6-deoxyspectinomycin [20] 5 by removal cbz group under catalytic hydrogenation (Scheme 1). To achieve 6-deoxyspectinamide 6, compound 16 underwent reductive amination reaction with ammonium nitrate and 2-picoline-borane complex to provide 4′R-amino-6-deoxyspectinomycin, which then coupled with 2-pyridyl acetic acid to give compound 17 [45, 46]. The newly generated stereochemistry on the 3′(R) position was assigned using coupling constant (J3′4′ax = 4.4 Hz; J3′4′eq = 2.3 Hz) [47] values between 3′ and 4′ hydrogens by synthesizing compound 16b (data available in Supplementary Scheme 1, compound 16b). Finally, catalytic hydrogenolysis of cbz product of 17 under Pd/C gave 6-deoxyspectinamide 6.
Attempts to deoxygenation of C-2-hydroxy group using the Barton imidazolylthiocarbamate intermediate failed presumably due to the steric hindrance of C-2-hydroxy group, we consequently followed literature procedure to make 2-deoxyspectinomycin. The 2-deoxyderivative 18 was achieved from spectinomycin using the protocol of Foley et al. (Scheme 2) [21]. Benzyl protection of 6-hydroxy group followed by removal of acetonide group yielded diol 19. Compound 9 was achieved by oxidation of compound 19 to give compound 20 and followed by cbz group deprotection. The 2-deoxyspectinamide 10 was synthesized from 20 via 21 following similar protocol [45] as used in 6.
6-Deoxy-amSPC 7 was synthesized from amSPC intermediate 22 [11]. First, the benzyl amine group in 22 [11] was protected as tert-butyl carbamate derivative and then the 6-imidazolylthiocarbamate derivative 23 was synthesized using 1,1′-thiocarbonyl diimidazole. Deoxygenation at C-6 position was then achieved efficiently by following Barton’s radical deoxygenation [23] method as used in compound 15 to give deoxygenated product 24 in moderate yield. Finally, deoxy compound 7 was achieved by removing tert-butoxy carbonyl group using trifluoroacetic acid and benzyloxy carbonyl group deprotection under hydrogenolysis condition (Scheme 3). The 6-epi-chloro compound 8 was synthesized following literature protocol [24]. The synthesis of 6-dehydrospectinamide 11 was accomplished from cbz protected 25 [25] via selective oxidation of C-6-hydroxy group by Pfitzner–Moffatt method and followed hydrogenolytic deprotection of cbz groups (Scheme 4).
Antibacterial susceptibility and ribosomal activity of deoxy analogs
The antibacterial susceptibilities of the synthesized deoxy analogs were tested against a panel of Gram (+) and Gram (−) pathogens, plus M. tuberculosis (abbreviated in Table 1, full data available in Supplementary Table 1). All deoxyspectinomycin analogs lacked MIC activity in line with previous reports [20]. Deoxyspectinamides 6 and 10 and deoxy-amSPC 7 had some limited MIC activity against M. tuberculosis and S. pneumoniae, weaker than their corresponding parent spectinamide 2 and amSPC 3, consistent with their reduced ribosomal binding affinities described subsequently.
Table 1.
Compounds | M. tuberculosis H37Rv MIC (µg ml−1) | S. pneumoniae R6 MIC (μg ml−1) | E. coli K-12 MIC (µg ml−1) | E. coli cellular accumulation (µM) | Ribosome translation inhibition IC50 (μg ml−1) |
---|---|---|---|---|---|
Spectinomycin (1) |
50 | 12.5 | 25 | 1.1 ± 0.1 | 0.36 |
2 |
1.6 | 12.5 | 200 | 5.4 ± 0.8 | 0.89 |
3 |
6.25 | 3.13 | 50 | 40 + 1 | 0.74 |
4 |
1.6 | 12.5 | 100 | 5.9 + 0.8 | 0.84 |
5 |
>200 | >200 | >200 | 2.3 + 0.4 | >60 |
6 |
50 | 25 | >200 | 10.0 + 0.6 | 9.50 |
7 |
100 | 25 | >200 | 47 + 1 | 23.3 |
8 |
>200 | >200 | >200 | 1.29 ± 0.06 | 54.7 |
9 |
>200 | >200 | >200 | <0.4 | >60 |
10 |
200 | 50 | >200 | 5.6 ± 0.5 | 10.2 |
11 |
100 | >200 | >200 | 1.77 ± 0.06 | 34.7 |
The ability of the analogs to inhibit ribosomal translation was performed with M. smegmatis ribosomes in a cell-free translation assay [11] (Table 1). The 6- and 2-deoxyspectinomycins, 5 and 9, show poor ribosomal binding inhibition (Ribo IC50 > 60 μg ml−1) compared to spectinomycin 1 (Ribo IC50 0.36 μg ml−1). The molecular docking of 5 and 9 suggests that the hydrogen bonding interactions from the 6- and 2-hydroxy groups are crucial for ribosomal binding inhibition (Fig. S2A, B). Substitution of the hydroxy group at the 6-position on spectinomycin was tested to determine if the loss in activity could be rescued while avoiding AME activity. However, addition of a chlorine at the 6-position (8) maintained poor activity (Table 1) and disrupted the majority of hydrogen bonding interactions involved with spectinomycin binding (Fig. S2C). Therefore, the hydroxy group at the 6-position of spectinomycin forms hydrogen bonding interactions that are crucial to maintain ribosomal inhibition.
The 6-deoxyspectinamide 6 showed improved ribosomal inhibition compared to 5, (Ribo IC50 = 9.50 μg ml−1) suggesting the aryl side chain could partially rescue inhibitor activity. The aryl side chain extends from the spectinomycin binding site and interacts directly with the RpsE protein loop through VDW interactions (Fig. S3). Similarly, 6-deoxy-amSPC 7 had improved ribosomal inhibition (Ribo IC50 = 23.3 μg ml−1) from the contribution of the aryl side chain (Fig. S4). This feature may be used in part to compensate for the loss of hydrogen bonding interaction with the spectinomycin core and the bacterial ribosome, a phenomenon that could not be observed in 5 as it lacks the aryl side chain. 2-Deoxyspectinamide 10 also showed improved ribosomal inhibition (Ribo IC50 = 10.2 μg ml−1) compared to the 2-deoxyspectinomycin 9 (Ribo IC50 > 60 μg ml−1). From the molecular docking of 10, the aryl side chain is also shown to gain interactions with the RpsE protein backbone, providing further evidence that aryl side chain rescues ribosomal binding (Fig. S3).
In the case of the 6-dehydrospectinamide 11, we observed an increase in ribosomal binding affinity compared to other 6-deoxy analogs (Ribo IC50 = 34.7 μg ml−1). The molecular docking studies of the parent compound, 4, and the 11 analog reveal the carbonyl at the 6-position docked with a similar predicted affinity (Fig. S5). The exact molecular entity of 11 is not known in solution state at this stage as it likely exists in equilibrium with its hydrated form as indicated by its 13C NMR (Fig. 3). Therefore, we also docked the 12 (gem-diol-11) (Fig. S5). This analog exhibited two hydrogen bond interactions with G1064 and G1193, but loses the hydrogen bonding interaction with the backbone of Arg60 and has a weaker docking score compared to 4 and 11 (Fig. S5). These results point to reason for the weak binding (Ribo IC50 = 34.7 μg ml−1) for 11 compared to 4 (Ribo IC50 = 0.84 μg ml−1) is due to 12 (gem-diol-11) being the dominant binding isoform.
Cellular accumulation
To examine if altered cellular accumulation contributes to reduced MIC activity of deoxyspectinomycin analogs, the concentration of all analogs within E. coli cells was measured and compared to their corresponding spectinomycin family parent (Fig. 5 and Table S3) [43]. These experiments indicated a substantial difference in the accumulation between the different families, spectinomycins (1, 5, 8, 9; range <0.4 to 1.2 μM), spectinamides (2, 4, 6, 10; range <5.4 to 10 μM), and amSPCs (3, 7; 40 and 47 μM, respectively). When examining matched pairs within families (1 vs 5 and 9; 2 vs 6 and 10; 3 vs 7), deoxygenation led to a slight increase in accumulation, with the most pronounced effect for 6-deoxy analogs. The increased accumulation is, however, modest and unlikely to impact MIC levels. The pattern of uptake was generally mirrored in the E. coli ΔtolC strain. However, these data suggest that the early spectinamide, 2, is subjected to efflux by tolC. The depletion of the efflux pump results in a 15-fold increase in intracellular accumulation, which matches the trends in susceptibility where knocking out the efflux pump reduces the MIC of 2 from 200 to 50 μg ml−1. Overall, these results indicate that altered accumulation does not affect the antimicrobial potency among the deoxyspectinomycin analogs.
Molecular dynamics simulations
Spectinomycin binding is mediated through a complex pattern of hydrogen bond interactions between the rRNA nucleotides and the ligand [26]. A better understanding of the contributions of the 2- and 6-hydroxy group positions on the spectinomycin scaffold is crucial for the development of novel analogs that overcome inactivation by AMEs. We chose to examine these interactions using molecular dynamics simulations, rather than the rigid body docking used earlier in this paper. These are computationally intense experiments that account for dynamically changing interactions between the ligand, rRNA nucleotides, RpsE loop, and associated water molecules. Removing or modifying the 2- and 6-hydroxy groups on spectinomycin and analogs had large effect on the binding and antibacterial activity (Table 1). To examine the molecular basis of these effects, the docked conformations of spectinomycin 2, 5, 6, 9, and 10 analogs were subjected to a 20 ns molecular dynamic simulation (Figs. 6 and 7). The docking pose of spectinomycin into the M. tuberculosis rRNA/RpsE complex homology model was compared to the E. coli X-ray crystal structure (PDB ID: 2QOU [26]) to ensure the binding mode was not altered between species. The ligand RMSD between the two structures was 0.65 Å (data not shown). The final spectinomycin binding mode following a 20 ns MD simulation is shown (Fig. 6). Like the X-ray crystal structure, the nucleotides in the spectinomycin binding pocket participate in several key hydrogen bonding interactions. The 2-hydroxy group coordinates with a water molecule and interacts with A1191, while the 6-hydroxy group has one binding interaction with G1064.
In the simulation, 6-deoxyspectinomycin 5 lost the 6-hydroxy group-mediated hydrogen bonding interaction with the G1064 nucleotide (Fig. 6b) and resulted in a 1.65 Å RMSD shift in the pocket compared to spectinomycin (Fig. 6d). The free energy of binding for spectinomycin and analogs was calculated using MM/GBSA in Amber18 [40] (Table 2). The MM/GBSA method calculates binding free energies using molecular mechanics at low computational cost [40, 48]. Furthermore, GBSA is accurate and robust in ranking binding affinities for structure-based drug discovery. Removal of the 6-hydroxyl group resulted in a decrease of 8.6 kcal mol−1 in binding energy compared to spectinomycin and is reflective of the poor IC50. Removal of the 2-hydroxy in 9 results in the loss of two hydrogen bonding interactions in the pocket, i.e., a water molecule and the A1191 nucleotide (Fig. 6c). Despite the remaining hydrogen bonding partners, 9 produces a larger shift in the pocket with a RMSD of 2.81 Å (Fig. 6d). This shift results in a 6.3 kcal mol−1 decrease in the binding energy compared to spectinomycin (Table 2). While both analogs had poor binding affinities, loss of the 2-hydroxy group was more favorable than the 6-hydroxy group for the spectinomycin core.
Table 2.
Compound | EVDWa (kcal−1 mol−1) | Enonpolara (kcal−1 mol−1) | ΔGtotala (kcal−1 mol−1) | Ribosomal IC50b (μg ml−1) |
---|---|---|---|---|
Spectinomycin | −38.9 ± 2.70 | −5.41 ± 0.05 | −78.5 ± 2.32 | 0.36 |
5 | −36.9 ± 2.60 | −5.21 ± 0.05 | −69.9 ± 2.92 | >60 |
9 | −39.3 ± 2.55 | −5.34 ± 0.05 | −72.2 ± 2.21 | >60 |
2 | −57.2 ± 2.98 | −7.29 ± 0.06 | −97.6 ± 2.78 | 0.89 |
6 | −49.8 ± 2.76 | −6.86 ± 0.05 | −81.6 ± 2.49 | 9.50 |
10 | −56.3 ± 2.91 | −7.34 ± 0.06 | −92.3 ± 2.27 | 10.2 |
aValues represent an average over the 1000 MD frames ± standard deviation
bTested with M. smegmatis
Interactions driving spectinomycin binding are also observed in the spectinamide 2-bound complex, with the addition of a hydrogen bond between the aryl chain on spectinamide and G1193 (Fig. 7a). The aryl chain also gains VDW interactions on the RpsE protein loop. Binding of 2 did not perturb the spectinomycin binding pocket, with a RMSD value of 0.75 Å (Fig. 7d). However, binding of 6, the corresponding 6-deoxy analog, shifted 2.47 Å from 2 in the pocket and reduced the calculated ΔG of binding by 16.0 kcal mol−1 (Table 2). Despite the loss of one hydrogen bond interaction with G1064, 6 maintains VDW interaction RpsE protein loop (Fig. 7b), improving the IC50 compared to the 6-deoxyspectinomycin analog 5. Additionally, 6 gains a hydrogen bonding interaction between G1193 phosphate backbone and the spectinomycin scaffold because of the large shift in the binding pocket (Fig. 7b). In contrast, the 2-deoxyspectinamide analog 10 remains in the spectinomycin binding pocket with a RMSD value of 1.28 Å compared to 2 (Fig. 7d). Losing the A1191 hydrogen bond is alleviated through interactions from the aryl chain to G1193 and VDW interactions with Val56 on the RpsE protein loop (Fig. 7c). Binding of 10 reduced the ΔG of binding by 5.3 kcal mol−1 compared to 2, suggesting the loss of the 2-hydroxy group is more favorable than the 6-hydroxy group as observed with deoxyspectinomycin analogs. However, despite loss of the hydroxy groups, both deoxyspectinamide analogs recover binding interactions and rescue activity via additional protein–ligand interactions on the RpsE protein loop.
The calculated ΔG of binding for the analogs correlates to the measured ribosomal IC50 data; however, the energetic contribution for each nucleotide is unknown from this analysis. Therefore, the free energy decomposition [40] of each nucleotide and amino acid in the binding pocket was compared between the analogs (Fig. 8). From the spectinomycin MD simulation, G1064, C1066, and G1068 have the strongest interaction in the binding pocket, with A1191, C1192, and G1193 being the weakest (Fig. 8 and Table S2). When the 6-hydroxy group is removed, the hydrogen bonding interaction from G1064 is lost and results in a 1.8 kcal mol−1 decrease in free energy (Fig. 8). The loss of the 6-hydroxy group indirectly effected nucleotide binding interactions with 5, 0.82 kcal mol−1 loss for C1066 and 0.45 kcal mol−1 loss for G1068. In contrast, the removal of the 2-hydroxy group did not produce these large changes in the free energy of binding (Fig. 8). Despite the loss of A1191 hydrogen bonding interactions, the C1066 had the largest loss in free energy of 2.33 kcal mol−1. This trend was observed for the deoxyspectinamide analogs compared to the parent 2 compound. The 6-deoxy 6 analog had a decrease in G1064 free energy by 2.29 kcal mol−1, as the hydrogen bond interaction is lost as observed for 5. Additionally, the binding free energy for C1192 decreased, 3.96 kcal mol−1, which was not observed for 5. This change in C1192 binding energy may be a result of the large shift in the binding pocket. The aryl side chain increased binding interactions with G1193, 1.13 kcal mol−1. The 2-deoxy analog 10 maintained similar binding free energies compared to the parent compound 2. This is not surprising, as 10 did not perturb the binding pocket, RMSD value of 1.28 Å. The loss of the A1191 binding interaction in the pocket resulted in a 1.16 kcal mol−1 decrease in energy, as well as indirect effect on C1066, 1.58 kcal mol−1. The aryl chains in the spectinamide series did increase binding interactions through the RpsE protein loop, as observed in the increase of Val56 free energy (Fig. 8).
From the decomposition of the free energy of binding, loss of the 2-hydroxy group in 9 and 10 did not greatly perturb the binding free energy of the nucleotides in the pocket except for a decrease in C1066 and A1191 (Fig. 8). However, loss of the 6-hydroxy group in 6 greatly impacted the free energy landscape of the binding pocket. Binding free energies decreased for G1064, A1191, and C1192 and increased with G1068 and G1193 (Fig. 8). This increase in energy is a result of shifting the spectinamide out of the pocket to maintain contacts between aryl side chain and the RpsE protein. This compensatory mechanism shown for both 6 and 10 suggests that the aryl side chain on these analogs promote favorable binding interactions, i.e., Val56 (Fig. 8). Structure-based drug discovery of the aryl chain on deoxyspectinamides to increase protein–ligand interactions may be a viable method to overcome the energetic penalties for removing the 2- or 6-hydroxy groups to avoid AME activity.
Conclusions
Aminoglycoside resistance mediated by AME activity remains a major hurdle in the field of antibiotic drug discovery. This study sought to determine how removal or modification of the AME targeted motifs in spectinomycin, and the related spectinamides and amSPCs, affected ribosomal potency, antibacterial activity, and cellular accumulation. We used an efficient method for the deoxygenation of spectinomycin enabling the synthesis of deoxyspectinamides and amSPCs. This method involves formation of imidazolylthiocarbamate and followed by deoxygenation reaction with tributyltin hydride, as used in classical “Barton-McCombie” deoxygenation method. The deoxyspectinomycin analogs had poor antibacterial activity and ribosomal binding affinity, as did the 6-dehydrospectinamide 11 and the epi-chloro spectinomycin 8 also synthesized as comparators. Molecular dynamic simulations followed by energy decomposition of the individual nucleotides involved in spectinomycin binding revealed the 6-hydroxy group has a larger effect on binding compared to the 2-hydroxy group consistent with in vitro protein translational inhibition data. These results experimentally validate our modeling approach, which allow for key binding site residues to be targeted in the design of future spectinomycin analogs.
Other important spectinomycin binding/structure–activity information can be gleaned from examining the testing data in this study, including an evaluation of the contribution the aryl side chains make to spectinamide and amSPC binding. In this case, the loss of binding affinity caused by deoxygenation of the spectinomycin ring affinity is demonstrated to be partially rescued by the additional interactions between the RpsE protein and the aryl side chains extending from the deoxyspectinamide and deoxy-amSPC analogs. Deoxygenation decreases the hydrophilicity of the spectinomycins, a goal of our program, as more lipophilic analogs are expected to have higher permeability in mammalian and bacteria cells. However, deoxygenation of the analogs in this study led to only small increases in cellular accumulation and was not found to affect the antimicrobial potency.
This study builds the on the knowledge of the SAR of spectinomycin analogs and is being used to aid the design of next-generation spectinomycins. Analogs that maintain a non-AME modifiable hydrogen bond donor at the 6-position to interact with G1064 in combination with aryl side chains modifications are being explored in subsequent studies. Such analogs may be successful new class of antibiotics targeting the helix-34 ribosomal binding site, overcoming AME resistance, if their overall binding affinities can be increased and their cellular permeability optimized.
Supplementary information
Acknowledgements
This research was supported by NIH grants (R01AI090810, R01AI136803, and T32AI106700) and ALSAC, St Jude’s Children Research Hospital. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. ECB and DS thank Tanja Viloria for expert technical assistance.
Compliance with ethical standards
Conflict of interest
The authors declare that they have no coflict of interest.
Footnotes
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Supplementary information
The online version of this article (10.1038/s41429-021-00408-3) contains supplementary material, which is available to authorized users.
References
- 1.Mason DJ, Dietz A, Smith RM. Actinospectacin, a new antibiotic. I. Discovery and biological properties. Antibiot Chemother. 1961;11:118–22. [PubMed] [Google Scholar]
- 2.Bergy ME, Eble TE, Herr RR. Actinospectacin, a new antibiotic. IV. Isolation, purification, and chemical properties. Antibiot Chemother. 1961;11:661–4. [PubMed]
- 3.Carter AP, Clemons WM, Brodersen DE, Morgan-Warren RJ, Wimberly BT, Ramakrishnan V. Functional insights from the structure of the 30S ribosomal subunit and its interactions with antibiotics. Nature. 2000;407:340–8. doi: 10.1038/35030019. [DOI] [PubMed] [Google Scholar]
- 4.Laird SM, Taylor G. Treatment of gonorrhoea with actinospectacin. Br J Vener Dis. 1962;38:60–3. doi: 10.1136/sti.38.2.60. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Fernandes PB, Vojtko CM, Bower RR, Weisz J. Spenolimycin, a new spectinomycin-type antibiotic. III. Biological properties. J Antibiot. 1984;37:1525–7. doi: 10.7164/antibiotics.37.1525. [DOI] [PubMed] [Google Scholar]
- 6.Balganesh M, Dinesh N, Sharma S, Kuruppath S, Nair AV, Sharma U. Efflux pumps of Mycobacterium tuberculosis play a significant role in antituberculosis activity of potential drug candidates. Antimicrob Agents Chemother. 2012;56:2643–51. doi: 10.1128/AAC.06003-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Ramon-Garcia S, Martin C, De Rossi E, Ainsa JA. Contribution of the Rv2333c efflux pump (the Stp protein) from Mycobacterium tuberculosis to intrinsic antibiotic resistance in Mycobacterium bovis BCG. J Antimicrob Chemother. 2007;59:544–7. doi: 10.1093/jac/dkl510. [DOI] [PubMed] [Google Scholar]
- 8.Galimand M, Gerbaud G, Courvalin P. Spectinomycin Resistance in Neisseria spp. Due to mutations in 16S rRNA. Antimicrob Agents Chemother. 2000;44:1365–6. doi: 10.1128/aac.44.5.1365-1366.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Sandvang D. Novel streptomycin and spectinomycin resistance gene as a gene cassette within a class 1 integron isolated from Escherichia coli. Antimicrob Agents Chemother. 1999;43:3036–8. doi: 10.1128/aac.43.12.3036. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Lee RE, Hurdle JG, Liu J, Bruhn DF, Matt T, Scherman MS, et al. Spectinamides: a new class of semisynthetic antituberculosis agents that overcome native drug efflux. Nat Med. 2014;20:152–8. doi: 10.1038/nm.3458. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Bruhn DF, Waidyarachchi SL, Madhura DB, Shcherbakov D, Zheng Z, Liu J, et al. Aminomethyl spectinomycins as therapeutics for drug-resistant respiratory tract and sexually transmitted bacterial infections. Sci Transl Med. 2015;7:288ra275. doi: 10.1126/scitranslmed.3010572. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Iverson RE, Meyer CJ, Vogel P, Waidyarachchi S, Das N, Bruhn DF, et al. Efficacy of aminomethyl spectinomycins against complex upper respiratory tract bacterial infections. Antimicrob Agents Chemother. 2019;63:e02096–18. doi: 10.1128/AAC.02096-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Scarff JM, Waidyarachchi SL, Meyer CJ, Lane DJ, Chai W, Lemmon MM, et al. Aminomethyl spectinomycins: a novel antibacterial chemotype for biothreat pathogens. J Antibiot. 2019;72:693–701. doi: 10.1038/s41429-019-0194-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Butler MM, Waidyarachchi SL, Connolly KL, Jerse AE, Chai W, Lee RE, et al. Aminomethyl spectinomycins as therapeutics for drug-resistant gonorrhea and chlamydia coinfections. Antimicrob Agents Chemother. 2018;62:e00325–18. doi: 10.1128/AAC.00325-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Ramirez MS, Tolmasky ME. Aminoglycoside modifying enzymes. Drug Resist Updat. 2010;13:151–71. doi: 10.1016/j.drup.2010.08.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Suter TM, Viswanathan VK, Cianciotto NP. Isolation of a gene encoding a novel spectinomycin phosphotransferase from Legionella pneumophila. Antimicrob Agents Chemother. 1997;41:1385–8. doi: 10.1128/aac.41.6.1385. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Zárate SG, De la Cruz Claure ML, Benito-Arenas R, Revuelta J, Santana AG, Bastida A. Overcoming aminoglycoside enzymatic resistance: design of novel antibiotics and inhibitors. Molecules. 2018;23:284. doi: 10.3390/molecules23020284. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Kanchugal PS, Selmer M. Structural recognition of spectinomycin by resistance enzyme ANT(9) from Enterococcus faecalis. Antimicrob Agents Chemother. 2020;64:e00371–20. doi: 10.1128/AAC.00371-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Stern AL, Van der Verren SE, Kanchugal PS, Nasvall J, Gutierrez-de-Teran H, Selmer M. Structural mechanism of AadA, a dual-specificity aminoglycoside adenylyltransferase from Salmonella enterica. J Biol Chem. 2018;293:11481–90. doi: 10.1074/jbc.RA118.003989. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Foley L, Lin JT, Weigele M. Spectinomycin chemistry. II.) 9-Deoxy-4(R)-dihydrospectinomycin and 9-deoxyspectinomycin. J Antibiot. 1978;31:979–84. [DOI] [PubMed]
- 21.Foley L, Lin JT, Weigele M. Preparation of 7-deoxyspectinomycin and 7-deoxy-8-epi-4(R)-dihydrospectinomycin. J Antibiot. 1979;32:418–9. doi: 10.7164/antibiotics.32.418. [DOI] [PubMed] [Google Scholar]
- 22.Rosenbrook W, Carney RE. Spectinomycin modification. I. 7-Epi-9-deoxy-4(R)-dihydrospectinomycin. J Antibiot. 1975;28:953–9. doi: 10.7164/antibiotics.28.953. [DOI] [PubMed] [Google Scholar]
- 23.Barton DHR, McCombie SW. A new method for the deoxygenation of secondary alcohols. J Chem Soc. 1975:1574–85. 10.1039/P19750001574.
- 24.Carney RE, Rosenbrook W. Spectinomycin modification. III Chloro-deoxy analogs. J Antibiot. 1977;30:960–4. doi: 10.7164/antibiotics.30.960. [DOI] [PubMed] [Google Scholar]
- 25.Liu J, Bruhn DF, Lee RB, Zheng Z, Janusic T, Scherbakov D, et al. Structure–activity relationships of spectinamide antituberculosis agents: a dissection of ribosomal inhibition and native efflux avoidance contributions. ACS Infect Dis. 2017;3:72–88. doi: 10.1021/acsinfecdis.6b00158. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Borovinskaya MA, Pai RD, Zhang W, Schuwirth BS, Holton JM, Hirokawa G, et al. Structural basis for aminoglycoside inhibition of bacterial ribosome recycling. Nat Struct Mol Biol. 2007;14:727–32. doi: 10.1038/nsmb1271. [DOI] [PubMed] [Google Scholar]
- 27.Jacobson MP, Friesner RA, Xiang Z, Honig B. On the role of the crystal environment in determining protein side-chain conformations. J Mol Biol. 2002;320:597–608. doi: 10.1016/s0022-2836(02)00470-9. [DOI] [PubMed] [Google Scholar]
- 28.Jacobson MP, Pincus DL, Rapp CS, Day TJ, Honig B, Shaw DE, et al. A hierarchical approach to all-atom protein loop prediction. Proteins. 2004;55:351–67. doi: 10.1002/prot.10613. [DOI] [PubMed] [Google Scholar]
- 29.Pontius J, Richelle J, Wodak SJ. Deviations from standard atomic volumes as a quality measure for protein crystal structures. J Mol Biol. 1996;264:121–36. doi: 10.1006/jmbi.1996.0628. [DOI] [PubMed] [Google Scholar]
- 30.Harder E, Damm W, Maple J, Wu C, Reboul M, Xiang JY, et al. OPLS3: a force field providing broad coverage of drug-like small molecules and proteins. J Chem Theory Comput. 2016;12:281–96. doi: 10.1021/acs.jctc.5b00864. [DOI] [PubMed] [Google Scholar]
- 31.Sastry GM, Adzhigirey M, Day T, Annabhimoju R, Sherman W. Protein and ligand preparation: parameters, protocols, and influence on virtual screening enrichments. J Comput Aided Mol Des. 2013;27:221–34. doi: 10.1007/s10822-013-9644-8. [DOI] [PubMed] [Google Scholar]
- 32.Greenwood JR, Calkins D, Sullivan AP, Shelley JC. Towards the comprehensive, rapid, and accurate prediction of the favorable tautomeric states of drug-like molecules in aqueous solution. J Comput Aided Mol Des. 2010;24:591–604. doi: 10.1007/s10822-010-9349-1. [DOI] [PubMed] [Google Scholar]
- 33.Friesner RA, Banks JL, Murphy RB, Halgren TA, Klicic JJ, Mainz DT, et al. Glide: a new approach for rapid, accurate docking and scoring. 1. method and assessment of docking accuracy. J Medicinal Chem. 2004;47:1739–49. doi: 10.1021/jm0306430. [DOI] [PubMed] [Google Scholar]
- 34.Friesner RA, Murphy RB, Repasky MP, Frye LL, Greenwood JR, Halgren TA, et al. Extra precision glide: docking and scoring incorporating a model of hydrophobic enclosure for protein−ligand complexes. J Med Chem. 2006;49:6177–96. doi: 10.1021/jm051256o. [DOI] [PubMed] [Google Scholar]
- 35.Halgren TA, Murphy RB, Friesner RA, Beard HS, Frye LL, Pollard WT, et al. Glide: a new approach for rapid, accurate docking and scoring. 2. Enrichment factors in database screening. J Med Chem. 2004;47:1750–9. doi: 10.1021/jm030644s. [DOI] [PubMed] [Google Scholar]
- 36.Case DA, Ben-Shalom IY, Brozell SR, Cerutti DS, Cheatham TE, III, Cruzeiro VWD, et al. AMBER. San Francisco: University of California; 2018.
- 37.Aytenfisu AH, Spasic A, Grossfield A, Stern HA, Mathews DH. Revised RNA dihedral parameters for the amber force field improve RNA molecular dynamics. J Chem Theory Comput. 2017;13:900–15. doi: 10.1021/acs.jctc.6b00870. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Wang J, Wolf RM, Caldwell JW, Kollman PA, Case DA. Development and testing of a general Amber force field. J Comput Chem. 2004;25:1157–74. doi: 10.1002/jcc.20035. [DOI] [PubMed] [Google Scholar]
- 39.Maier JA, Martinez C, Kasavajhala K, Wickstrom L, Hauser KE, Simmerling C. ff14SB: improving the accuracy of protein side chain and backbone parameters from ff99SB. J Chem Theory Comput. 2015;11:3696–713. doi: 10.1021/acs.jctc.5b00255. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Miller BR, McGee TD, Swails JM, Homeyer N, Gohlke H, Roitberg AE. MMPBSA.py: an efficient program for end-state free energy calculations. J Chem Theory Comput. 2012;8:3314–21. doi: 10.1021/ct300418h. [DOI] [PubMed] [Google Scholar]
- 41.Weinstein MP. Performance standards for antimicrobial susceptibility testing. 30th ed. Clinical and Laboratory Standards Institute; 2020. p. 332.
- 42.Richter MF, Drown BS, Riley AP, Garcia A, Shirai T, Svec RL, et al. Predictive compound accumulation rules yield a broad-spectrum antibiotic. Nature. 2017;545:299–304. doi: 10.1038/nature22308. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Wallace MJ, Dharuman S, Fernando DM, Reeve SM, Gee CT, Yao J, et al. Discovery and characterization of the antimetabolite action of thioacetamide-linked 1,2,3-triazoles as disruptors of cysteine biosynthesis in gram-negative bacteria. ACS Infect Dis. 2020;6:467–78. doi: 10.1021/acsinfecdis.9b00406. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Rosenbrook W, Carney RE, Egan RS, Stanaszek RS, Cirovic M, Nishinaga T, et al. Spectinomycin modification. II. 7-Epi-sepctinomycin. J Antibiot. 1975;28:960–4. doi: 10.7164/antibiotics.28.960. [DOI] [PubMed] [Google Scholar]
- 45.Maier R, Woitun E, Reuter A, Reuter W, Wetzel B. Modification of spectinomycin 1. Synthesis of 4-aminospectinomycins. J Antibiot. 1981;34:16–21. doi: 10.7164/antibiotics.34.16. [DOI] [PubMed] [Google Scholar]
- 46.Woitun E, Maier R, Wetzel B, Reuter W, Lechner U. Modification of spectinomycin 2. Derivatives of 4-dihydro-4-deoxy-4(R)-aminospectinomycin. J Antibiot. 1981;34:22–7. doi: 10.7164/antibiotics.34.22. [DOI] [PubMed] [Google Scholar]
- 47.Maier R, Woitun E, Reuter A, Reuter W, Wetzel B. Modification of spectinomycin. 1. Synthesis of 4-aminospectinomycins. J Antibiot. 1981;34:16–21. doi: 10.7164/antibiotics.34.16. [DOI] [PubMed] [Google Scholar]
- 48.Hou T, Wang J, Li Y, Wang W. Assessing the performance of the MM/PBSA and MM/GBSA methods. 1. The accuracy of binding free energy calculations based on molecular dynamics simulations. J Chem Inf Model. 2011;51:69–82. doi: 10.1021/ci100275a. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Notredame C, Higgins DG, Heringa J. T-coffee: a novel method for fast and accurate multiple sequence alignment. J Mol Biol. 2000;302:205–17. doi: 10.1006/jmbi.2000.4042. [DOI] [PubMed] [Google Scholar]
- 50.Robert X, Gouet P. Deciphering key features in protein structures with the new ENDscript server. Nucleic Acids Res. 2014;42:W320–4. doi: 10.1093/nar/gku316. [DOI] [PMC free article] [PubMed] [Google Scholar]
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