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Springer Nature - PMC COVID-19 Collection logoLink to Springer Nature - PMC COVID-19 Collection
. 2022 Jul 18;29(59):89295–89339. doi: 10.1007/s11356-022-22025-9

Efficacy of selected Nigerian tropical plants in the treatment of COVID-19: in silico and in vitro investigations

Johnson Olaleye Oladele 1, Taiwo Scholes Adewole 1, Gbenga Emmanuel Ogundepo 2, Oyedotun Moses Oyeleke 1, Adenike Kuku 1,2,
PMCID: PMC9289936  PMID: 35849237

Abstract

The whole world is still challenged with COVID-19 pandemic caused by Coronavirus-2 (SARS-CoV-2) which has affected millions of individuals around the globe. Although there are prophylactic vaccines being used, till now, there is ongoing research into discovery of drug candidates for total eradication of all types of coronaviruses. In this context, this study sought to investigate the inhibitory effects of six selected tropical plants against four pathogenic proteins of Coronavirus-2. The medicinal plants used in this study were selected based on their traditional applications in herbal medicine to treat COVID-19 and related symptoms. The biological activities (antioxidant, free radical scavenging, and anti-inflammatory activities) of the extracts of the plants were assessed using different standard procedures. The phytochemicals present in the extracts were identified using GCMS and further screened via in silico molecular docking. The data from this study demonstrated that the phytochemicals of the selected tropical medicinal plants displayed substantial binding affinity to the binding pockets of the four main pathogenic proteins of Coronavirus-2 indicating them as putative inhibitors of Coronavirus-2 and as potential anti-coronavirus drug candidates. The reaction between these phytocompounds and proteins of Coronavirus-2 could alter the pathophysiology of COVID-19, thus mitigating its pathogenic reactions/activities. In conclusion, phytocompounds of these plants exhibited promising binding efficiency with target proteins of SARS-COV-2. Nevertheless, in vitro and in vivo studies are important to potentiate these findings. Other drug techniques or models are vital to elucidate their compatibility and usage as adjuvants in vaccine development against the highly contagious COVID-19 infection.

Keywords: COVID-19, Coronavirus-2, Medicinal plants, Phytochemicals, In silico molecular docking

Introduction

For several decades, infectious diseases particularly those induced by pathogenic viruses have a significant devastating effect on human wellbeing and health (Oladele et al. 2020a, b, c, d). At present, the whole world is challenged with COVID-19 pandemic caused by Coronavirus-2 (SARS-CoV-2) which has affected millions of individuals around the globe (Huang et al. 2020; Oladele et al. 2021a, b). The SARS-CoV-2 is a betacoronavirus and a member of the Coronaviridae family (Wang et al. 2020). Although there are prophylactic vaccines being used, till now, there is ongoing research into drug candidate for total eradication of all types of coronaviruses and therapy or medication to inhibit the progression of the pathogenesis of the disease. Thus, there is urgent need for the discovery of non-invasive, novel, natural, and non-toxic therapeutic agents that will effectively suppress the pathogenesis of Coronavirus-2.

SARS-CoV-2 belongs to either the alpha or beta human coronaviruses; several processes including pathogenesis, infectivity, virulence, and virus release are mediated by unique structural and accessory proteins (Issa et al 2020; Hassan et al. 2021). Worthy of note are the main protease, primase, ADP ribose phosphatase, replicase protein, and RNA-dependent RNA polymerase (Das et al. 2021; Maio et al. 2021). The activity of the main protease (Mpro), a 33.8 kDa enzyme is highly integral to the release of the viruses’ functional polypeptide via proteolytic processing necessary for its replication and transcription (Zhou et al. 2020), unlike the ADP ribose phosphatase and replicase protein, which are associated with altering the immune response of the host by removal of ADP-ribose from ADP-ribosylated proteins and viral replication (Michalska et al. 2020). Functionally similar to Mpro, the RNA-dependent RNA polymerase has been implicated in the replication of virus genome and gene transcription, making these proteins a potential candidate drug targets in mitigating viral lethality (Maio et al. 2021).

Medicinal plants are used since time immemorial in the treatment of various diseases due to their accessibility, inexpensive natural products, and host broad range of both biologically and chemically active phytocompounds which have been used in the synthesis of therapeutic drugs (Oladele et al. 2020a,b, 2021a, b). They also serve as sources of adjuvants for vaccine development. The six medicinal plants (Neem [Azadirachta indica Juss], Jute [Corchorus olitorius], Cassia alata, Phyllanthus amarus, bitter leaf [Vernonia amygdalina], and Cashew [Anacardium occidentale L.]) used in this study have been reported to have antioxidant, antiviral, immunomodulatory, cytoprotective, and antipyretic properties. Mode of actions of SARS-CoV-2 includes immunosuppression, alteration to physiological functions of alveoli, and activation of c-Jun N-terminal kinase (JNK) and mitogen-activated protein kinase (MAPK) pathways leading to secondary hemophagocytic lymphohistiocytosis (sHLH), a cytokine profile with a hyperinflammatory syndrome associated with multiorgan failure linked to COVID-19 severity including lung damage (Oladele et al. 2020c).

Based on the aforementioned, this study sought to investigate the cytoprotective effects of six tropical medicinal plants used in traditional medicine to treat COVID-19-related symptoms and examine the inhibitory ability of the active natural products and phytochemicals present in these plants against five essential proteins implicated in the pathogenesis of COVID-19. Furthermore, the study explores the in vitro biological properties of the plants aqueous extracts.

Materials and methods

Materials

Bovine serum albumin (BSA), folin ciocalteau, Tris–HCl, ethylene diaminetetraacetic acid (EDTA), phenyl methyl sulfonyl fluoride (PMSF), DPPH (1,1-diphenyl-1,2-picrylhydrazyl), TPTZ (2,4,6,-tripyridyl-s-triazine), and deoxyribose were purchased from Sigma Chemical Company, St Louis, Mo, USA. Hydrochloric acid (HCl), methanol, gallic acid, sulphuric acid (H2SO4), sodium carbonate (Na2CO3), aluminium chloride, potassium acetate, potassium persulphate, sodium nitroprusside, hydrogen peroxide, glacial acetic acid, naphthylethylenediamine dichloride, NADH, trichloroacetic acid (TCA), thiobarbituric acid (TBA), and L-ascorbic acid were all purchased from Merck, USA. All other chemicals and reagents used were of analytical grade.

Extraction of the aqueous extracts of the plants

The six tropical medicinal plants (Azadirachta indica Juss, Corchorus olitorius, Cassia alata, Phyllanthus amarus, Vernonia amygdalina, and Anacardium occidentale L.) used in this study are currently used in traditional and herbal medicine to treat and/or prevent COVID-19-related symptoms (Oladele et al. 2020a, b, c, d). Fresh leaves of Azadirachta indica, Corchorus olitorius, Cassia alata, Phyllanthus amarus, Vernonia amygdalina, and bark of Anacardium occidentale were air dried at room temperature in the Biochemistry laboratory of the Department of Chemical Sciences, Faculty of Science, Kings University, Odeomu, Osun State. The dried leaves were pulverized using electric blender. The powdered sample was weighed and soaked in 6 volumes of distilled water for 72 h with constant stirring. The extract was obtained by filtration and the paste was then freeze dried at − 60 °C.

Assessment of biological properties of the aqueous extracts of the plants

Nitric oxide radical scavenging activity

The scavenging effect of aqueous extracts of each plant on nitric oxide radical was measured according to the method of Ebrahimzadeh et al. (2009). Aliquot (1 mL) of sodium nitroprusside (5 mM) in phosphate-buffered saline (PBS, pH 7.2) was mixed with different concentrations of each plant aqueous extracts. This was incubated at room temperature for 150 min after which 0.5 mL of Griess reagent was added. The absorbance of the pink chromophore formed was read at 546 nm. Gallic acid and ascorbic acid were used as positive control. All experiment was done in triplicates. The percentage inhibition was calculated as follows:

%Inhibition=Absorbanceofcontrol-Absorbanceofsample×100Absorbanceofcontrol

Lipid peroxidation inhibition assay

The lipid peroxidation inhibition assay (LPI) was determined according to the method described by Liu et al. (2003) with a slight modification. Excised rat liver was homogenized in phosphate buffer (pH 7.4) and then centrifuged to obtain liposome. Aliquot (0.5 mL) of supernatant, 100 μL 10 mM FeSO4, 100 μL 0.1 mM ascorbic acid, and 0.3 mL of each plant aqueous extracts or standard at different concentrations were mixed to make the final volume of 1 ml. The reaction mixture was incubated at 37 °C for 20 min. Aliquot (1 mL) of (2%) TCA and 1.5 mL of (1%) TBA were added immediately after heating. Finally, the reaction mixture was heated at 100 °C for 15 min and cooled to room temperature. The absorbance was then taken at 532 nm. Percentage inhibition of lipid peroxidation (% LPI) was calculated as follows:

%I=Acontrol-Asample/Acontrol×100

where Acontrol is the absorbance of the control and Asample is the absorbance of the extractive/standard. Percentage of inhibition was plotted against concentration.

Ferric reducing power assay

Slightly modified assay method described by Shahi et al. (2020) was employed. Typically, aliquots of the aqueous extracts of each plant were mixed with 0.2 mM phosphate buffer (0.5 mL; pH 6.6) and 0.5 mL potassium ferricyanide (1% w/v). The mixture was incubated at 50 °C for 20 min. Trichloroacetic acid (10%, 2.5 mL) was added to the mixture and centrifuged at 2500 rpm for 10 min. Aliquot (1 mL) of obtained supernatant was mixed with 1 mL FeCl3 (0.1%, 0.5 mL), and the absorbance was measured at 700 nm. Gallic acid and ascorbic acid were used as positive standard.

Hydroxyl radical scavenging activity

The hydroxyl radical scavenging activity of aqueous extracts of each plant was carried out using the assay method of Kim and Minamikawa (1997) as described by Shahi et al. (2020) with slight modifications. Briefly, 0.1 mL of 10 mM EDTA, 0.01 mL of 10 mM FeCl3, 0.1 mL of 10 mM H2O2, 0.36 mL of 10 mM deoxyribose, 1.0 mL of aqueous extracts of each plant, 0.33 mL of phosphate buffer (50 mM, pH 7.4), and 0.1 mL of ascorbic acid were added sequentially. Resulting mixture was then incubated at 37 °C for 1 h. Aliquot (1.0 mL) of 5% TCA and 1.0 mL of 0.5% TBA were added to develop the pink chromogen measured at 532 nm. The standard was gallic acid and ascorbic acid. The percentage of hydroxyl radical scavenged was estimated using the following equation:

%Inhibition=1-Asample/Acontrol×100

where Acontrol is the absorbance of control and Asample is the absorbance of sample solution.

DPPH radical scavenging assay

Assay method of Wu et al. (2003) with slight modifications was employed. Briefly, aliquots (1 mL) of varying concentrations (50–800 mg/mL) of aqueous extracts of each plant were added to 1 mM 2, 2 diphenyl-1-picryldydrazyl (DPPH) (1 mL) in methanol solution. Resulting mixtures were vortexed, centrifuged (2500 rpm for 10 min), and then incubated in a dark chamber for 30 min at room temperature. Absorbance of the supernatant was measured at 517 nm against DPPH control containing 1 mL methanol in place of the protein fractions. Gallic acid and ascorbic acid were used as positive standard. Inhibition of DPPH radical was calculated as a percentage using the expression:

I%=Ablank-Asample/Ablank×100

where Ablank was standard absorbance and Asample was sample absorbance.

Scavenging of hydrogen peroxide

The ability of the aqueous extracts of each plant to scavenge hydrogen peroxide was determined according to Nabavi et al. (2008) and (2009). A solution of hydrogen peroxide (40 mM) was prepared in phosphate buffer (pH 7.4). The concentration of hydrogen peroxide was determined by absorption at 230 nm using a spectrophotometer. Aqueous extracts of each plant (50–800 mg/ ml) in distilled water were added to a hydrogen peroxide solution (0.6 mL, 40 mM). The absorbance of hydrogen peroxide at 230 nm was determined after 10 min against a blank solution containing phosphate buffer without hydrogen peroxide. The percentage of hydrogen peroxide scavenging by the aqueous extracts of each plant and a standard compound was calculated as follows:

%ScavengedH2O2=Ao-A1×100

where Ao was the absorbance of the control and A1 was the absorbance in the presence of the sample of aqueous extracts of each plant and standard.

Gas chromatography-mass spectroscopy (GC–MS) analysis of the extract

The GC–MS analysis was carried out to determine the phytochemicals present in the aqueous extracts using GC–MS (Model: QP2010 plus Shimadzu, Japan) encompassing an AOC-20i auto-sampler and gas chromatograph interfaced to a mass spectrometer (GC–MS). The relative percentage of the analyte was expressed as a percentage with peak area normalization. Interpretation on the mass spectrum was conducted using the database of National Institute of Standards and Technology (NIST). The fragmentation pattern spectra of the unknown components were compared with those of known components stored in the NIST library (NIST 11). The relative percentage of each phytochemical was calculated by comparing its average peak area to the total area. The name, molecular weight, and structure of the components of the test materials were ascertained.

In silico studies

Protein preparation

The crystal structures of SARS coronavirus spike receptor-binding domain (PDB ID 2AJF) with resolution 2.90 Å, ADP ribose phosphatase of NSP3 from SARS CoV-2 (PDB ID 6VXS) with resolution 2.03 Å, SARS-COV2 major protease (PDB ID 6LU7) with resolution 2.16 Å, and SARS CoV-2 RNA-dependent RNA polymerase (PDB ID 7BTF) with resolution 2.95 Å were retrieved from the protein databank (www.rcsb.org). Before the docking and analysis, the crystal structures were processed by eliminating existing ligands and water molecules. Furthermore, missing hydrogen atoms were added using Autodock v4.2 program, Scripps Research Institute (Morris et al. 2009). Subsequently, non-polar hydrogens were merged while polar hydrogen was added and then saved into pdbqt format in preparation for molecular docking.

Ligand preparation

The SDF structures of phytochemical present in the extracts as identified by GC–MS were retrieved from the PubChem database (www.pubchem.ncbi.nlm.nih.gov). The phytochemicals were converted to mol2 chemical format. Polar hydrogens were added while non-polar hydrogens were merged with the carbons, and the internal degrees of freedom and torsions were set. The protein and ligand molecules were further converted to the dockable PDBQT format using Autodock tools.

Molecular docking

Docking of the phytochemicals to the targeted protein and determination of binding affinities was carried out using AutodockVina (Trott and Olson 2010). The PDBQT formats of the receptor and that of the phytochemicals were positioned at their respective columns, and the software was run. The binding affinities of phytochemicals for the protein target were recorded. The phytochemicals were then ranked by their affinity scores. The molecular interactions between the receptor and phytochemicals with most remarkable binding affinities were viewed with PYMOL.

ADMET analysis

The solubility, pharmacodynamics, pharmacokinetics, and toxicological profiles of phytochemicals with the best docking score were computed based on their ADMET (absorption, distribution, metabolism, elimination, and toxicity) studies using pkCSM tool (http://biosig.unimelb.edu.au/pkcsm/prediction). The canonical SMILE molecular structures of the compounds used in the studies were obtained from PubChem (pubchem.ncbi.nlm.nih.gov).

Results

Biological properties of the aqueous extracts of the plants

Nitric oxide inhibitory activity of the aqueous extracts of the plants

Figure 1 shows a significant increase in the nitric oxide inhibitory activity of all aqueous extracts of the selected medicinal plants at various concentrations used in this study. At 800 mg/ml, ALVA (aqueous leaf extract of Vernonia amygdalina) displayed the highest nitric oxide inhibitory activity among the six plant extracts. Also, ALVA exhibited higher activity than ascorbic acid but not up to activity of the gallic acid. This confirms the possible anti-inflammatory potential of the aqueous extracts.

Fig. 1.

Fig. 1

Nitric oxide inhibitory activity of aqueous extracts of selected medicinal plants. ALAI, aqueous leaf extract of Azadirachta indica; ALAO, aqueous leaf extract of Corchorus olitorius; ALCA, aqueous leaf extract of Cassia alata; ALPA, aqueous leaf extract of Phyllanthus amarus; ALVA, aqueous leaf extract of Vernonia amygdalina; ABAO, aqueous bark extract of Anacardium occidentale

Lipid peroxidation inhibitory activity of the aqueous extracts of the plants

The result in Fig. 2 revealed that the aqueous extracts of the selected plants demonstrated increased lipid peroxidation inhibitory activity with increase in the concentration of the extracts. However, at 800 mg/ml, ABAO (aqueous bark extract of Anacardium occidentale) exhibited highest lipid peroxidation inhibitory activity when compared with other extracts. Similarly, ABAO displayed higher inhibitory activity than ascorbic acid when compared with the standard antioxidants used. In all, gallic acid has the highest activity. This study revealed that the extracts could mitigate the lipid peroxidation chain reactions and prevent oxidation of cellular macromolecules.

Fig. 2.

Fig. 2

Lipid peroxidation inhibitory activity of aqueous extracts of selected medicinal plants. ALAI, aqueous leaf extract of Azadirachta indica; ALAO, aqueous leaf extract of Corchorus olitorius; ALCA, aqueous leaf extract of Cassia alata; ALPA, aqueous leaf extract of Phyllanthus amarus; ALVA, aqueous leaf extract of Vernonia amygdalina; ABAO, aqueous bark extract of Anacardium occidentale

Ferric reducing power of the aqueous extracts of the plants

The result in Fig. 3 revealed the ferric reducing power of different concentrations of the aqueous extracts of the selected plants compared with standard antioxidants (ascorbic and tannic acids). At 800 mg/ml, all the extracts expect ALAO (aqueous leaf extract of Corchorus olitorius) displayed higher ferric radical reducing power than ascorbic acid when compared with standard antioxidants used. Of note, ABAO exhibited the highest ferric reducing power activity at 800 mg/mL among all the plant extracts used in the study.

Fig. 3.

Fig. 3

Free radical reducing power of aqueous extracts of selected medicinal plants. ALAI, aqueous leaf extract of Azadirachta indica; ALAO, aqueous leaf extract of Corchorus olitorius; ALCA, aqueous leaf extract of Cassia alata; ALPA, aqueous leaf extract of Phyllanthus amarus; ALVA, aqueous leaf extract of Vernonia amygdalina; ABAO, aqueous bark extract of Anacardium occidentale

Hydroxyl radical scavenging ability of the aqueous extracts of the plants

Results in Fig. 4 showed that at 800 mg/ml, ALAI (aqueous leaf extract of Azadirachta indica), ALCA (aqueous leaf extract of Cassia alata), ALVA (aqueous leaf extract of Vernonia amygdalina), and ABAO (aqueous bark extract of Anacardium occidentale) have higher potent hydroxyl radical scavenging ability than ascorbic acid when compared with the standard antioxidants used. At all the tested concentrations, all the aqueous plant extracts displayed high hydroxyl radical scavenging ability with increase in their concentrations suggesting the extracts as potent source of antioxidant phytochemicals.

Fig. 4.

Fig. 4

Hydroxyl radical scavenging activity of aqueous extracts of selected medicinal plants. ALAI, aqueous leaf extract of Azadirachta indica; ALAO, aqueous leaf extract of Corchorus olitorius; ALCA, aqueous leaf extract of Cassia alata; ALPA, aqueous leaf extract of Phyllanthus amarus; ALVA, aqueous leaf extract of Vernonia amygdalina; ABAO, aqueous bark extract of Anacardium occidentale

DPPH inhibitory activity of the aqueous extracts of the plants

The result in Fig. 5 shows that all the aqueous extracts of the selected medicinal plants used in this study elicited impressive DPPH radical scavenging activities when compared with standard antioxidants: gallic acid and ascorbic acid. At 800 mg/ml, ALVA (aqueous leaf extract of Vernonia amygdalina) exhibited the highest DPPH scavenging activity among all the extract used, followed by ABAO (aqueous bark extract of Anacardium occidentale) and then ALCA (aqueous leaf extract of Cassia alata) and ALPA. Although none of the extracts exhibited higher DPPH radical scavenging activity than the antioxidant standards used, their activity is significant, and this result depicted that they have substantial DPPH radical scavenging activity as the standard antioxidants.

Fig. 5.

Fig. 5

DPPH radical scavenging activity of aqueous extracts of selected medicinal plants. ALAI, aqueous leaf extract of Azadirachta indica; ALAO, aqueous leaf extract of Corchorus olitorius; ALCA, aqueous leaf extract of Cassia alata; ALPA, aqueous leaf extract of Phyllanthus amarus; ALVA, aqueous leaf extract of Vernonia amygdalina; ABAO, aqueous bark extract of Anacardium occidentale

Hydrogen peroxide inhibitory activity of the aqueous extracts of the plants

Hydrogen peroxide scavenging activity of all the aqueous extracts of the plants used in this study was presented in Fig. 6 as compared with the standard antioxidants (ascorbic and gallic acids). At tested concentrations, all the aqueous extracts efficiently scavenged hydrogen peroxide. Interestingly, at 800 mg/ml, ALAI exhibited the highest hydrogen peroxide scavenging activity when compared with the standard antioxidants used and other extracts. Similarly, all the extracts expect ALVA displayed higher hydrogen peroxide scavenging activity than ascorbic acid. This result indicated that all the extracts could play beneficial role in mitigating pathological conditions mediated by oxidative stress.

Fig. 6.

Fig. 6

Hydrogen peroxide scavenging activity of aqueous extracts of selected medicinal plants. ALAI, aqueous leaf extract of Azadirachta indica; ALAO, aqueous leaf extract of Corchorus olitorius; ALCA, aqueous leaf extract of Cassia alata; ALPA, aqueous leaf extract of Phyllanthus amarus; ALVA, aqueous leaf extract of Vernonia amygdalina; ABAO, aqueous bark extract of Anacardium occidentale

Phytochemical constituents and GCMS analysis of the extract

The preliminary qualitative phytochemical screening of extracts of the selected tropical plants used in this study revealed that the extracts are rich in phenol, flavonoids, coumarins, saponin, and alkaloids. The secondary metabolites profile of each of the extracts was detailed in Tables 1, 2, 3, 4, 5 and 6 as analysed using NIST 11 (Figs. 7, 8, 9, 10, 11 and 12). Some of the identified phytochemicals in the extracts have been reported to have antiapoptotic, antioxidant, anti-inflammatory, and cytoprotective effects which are essential to mitigate inflammation, oxidative stress, and toxicity effects mediated by Coronavirus-2.

Table 1.

GC–MS analysis of aqueous leaf of Azadirachta indica

S/N Compound Canonical SMILES PubChem CID
1 Ethyl acetate CCOC(= O)C 8857
2 2-Propenal C = CC = O 7847
2-Propen-1-amine C = CCN 7853
3 Acetic acid, butyl ester CCCCOC(= O)C 31,272
4 3-Hexanone, 2-methyl- CCCC(= O)C(C)C 23,847
3,4-Dimethylpent-2-en-1-ol CC(C)C(= CCO)C 5,366,252
1,1-Di(isobutyl)acetone CC(C)CC(CC(C)C)C(= O)C 551,338
5 Ethylbenzene CCC1 = CC = CC = C1 7500
o-Xylene CC1 = CC = CC = C1C 7237
6 n-Butyl ether CCCCOCCCC 8909
Propanoic acid, 2-methylpropyl ester CCC(= O)OCC(C)C 10,895
n-Butyl ether CCCCOCCCC 8909
7 Ethane, 1-chloro-2-isocyanato- C(CCl)N = C = O 16,035
1-[N-Aziridyl]heptene-3 CCCC = CCCN1CC1 5,364,877
1-Heptene, 2-methyl- CCCCCC(= C)C 27,519
8 1,3,3-Trimethyl-1-(4′-methoxyphenyl)-6-methoxyindane CC1(CC(C2 = C1C = CC(= C2)OC)(C)C3 = CC = C(C = C3)OC)C 624,568

1-[2,4-Bis(trimethylsiloxy)phenyl] -2-[(4-trimethylsiloxy)phenyl]prop

an-1-one

Chloromethyl octyl ether CCCCCCCCOCCl 534,743
9 Cyclohexane, 1R-acetamido-2,3-cis-epoxy-4-cis-formyloxy- CC(= O)NC1CCC(C2C1O2)OC = O 537,204
Chloroacetic acid, 2-methylpentylester
Cyclohexanol, 1R-4-acetamido-2,3-cis-epoxy- CC(= O)NC1CCC(C2C1O2)OC = O 537,204
10 Butane, 2,2′-thiobis- C(CCO)CO.C(CSCCO)O 44,153,764
1,6-Anhydro-2,3-dideoxy-.beta.-D-erythro-hexopyranose C1CC2OCC(C1O)O2 560,102
Boronic acid, ethyl-, bis(2-mercaptoethyl ester) C1CC2OCC(C1O)O2 560,102
11 Silanol, trimethyl-, propanoate CCC(= O)O[Si](C)(C)C 519,321
.beta.-D-Ribopyranoside, methyl 2, 3,4-tri-O-methyl- COC1COC(C(C1OC)OC)OC 21,140,439
Hexadecanoic acid, 3,7,11,15-tetramethyl-, methyl ester CC(C)CCCC(C)CCCC(C)CCCC(C)CC(= O)OC 568,163
12 N1,N1-Dimethyl-N2-(1-phenyl–ethyl) -ethane-1,2-diamine CC(C1 = CC = CC = C1)NCCN(C)C 547,403
2-Nonanone CCCCCCCC(= O)C 13,187
13 4-(2-Amino-3-cyano-5-oxo-5,6,7,8-tetrahydro-4H-chromen-4-yl)-3,5-dimethyl-1H-pyrrole-2-carboxylic acid ethyl ester CCOC(= O)C1 = C(C(= C(N1)C)C2C(= C(OC3 = C2C(= O)CCC3)N)C#N)C 605,143
Heptasiloxane, 1,1,3,3,5,5,7,7,9,9,11,11,13,13-tetradecamethyl- C[Si](C)O[Si](C)(C)O[Si](C)(C)O[Si](C)(C)O[Si](C)(C)O[Si](C)(C)O[Si](C)C 6,329,088

1H-Indole-2-carboxylic acid, 6-(4-ethoxyphenyl)-3-methyl-4-oxo-4,5,6

,7-tetrahydro-, isopropyl ester

CCOC1 = CC = C(C = C1)C2CC3 = C(C(= C(N3)C(= O)OC(C)C)C)C(= O)C2 4,916,205
14 Octasiloxane, 1,1,3,3,5,5,7,7,9,9, 11,11,13,13,15,15-hexadecamethyl- C[Si](C)O[Si](C)(C)O[Si](C)(C)O[Si](C)(C)O[Si](C)(C)O[Si](C)(C)O[Si](C)(C)O[Si](C)C 6,329,087
Heptasiloxane, 1,1,3,3,5,5,7,7,9,9,11,11,13,13-tetradecamethyl- C[Si](C)O[Si](C)(C)O[Si](C)(C)O[Si](C)(C)O[Si](C)(C)O[Si](C)(C)O[Si](C)C 6,329,088

Furo[2′,3′:4,5]thiazolo[3,2-g]purine-8-methanol, 4-amino-6.alpha.,7,

8,9a-tetrahydro-7-hydroxy-, [6aS-(

6a.alpha.,7.alpha.,8.beta.,9a.alph

a.)]-

15 Dodecanoic acid CCCCCCCCCCCC(= O)O 3893
Methyl 6-O-[1-methylpropyl]-.beta. -d-galactopyranoside CCC(C)OCC1C(C(C(C(O1)OC)O)O)O 22,213,632
Nonanoic acid CCCCCCCCC(= O)O 8158
16 n-Decanoic acid CCCCCCCCCC(= O)O 2969
Trisilane C[Si](C)(C)[Si](C)(C)[Si](C)(C)C1 = CC = CC2 = CC = CC = C21 142,270
4a-Methyl-6,8-dioxa-3-thia-bicyclo(3,2,1)octane 50,469,286
17 Butane, 1,1-dibutoxy- CCCCOC(CCC)OCCCC 22,210
1,1-Diisobutoxy-isobutane CC(C)COC(C(C)C)OCC(C)C 545,267
1-Butoxy-1-isobutoxy-butane CCCCOC(CCC)OCC(C)C 545,190
18 Undec-10-ynoic acid C#CCCCCCCCCC(= O)O 31,039
19 1-Pentadecyne CCCCCCCCCCCCCC#C 69,825
20 Spirohexan-4-one, 5,5-dimethyl- CC1(CC2(C1 = O)CC2)C 534,214
1,4-Cyclohexanedimethanamine C1CC(CCC1CN)CN 17,354
Cyclohexanone, 2-(2-propenyl)- C = CCC1CCCCC1 = O 78,944
21 Spirohexan-4-one, 5,5-dimethyl- CC1(CC2(C1 = O)CC2)C 534,214
1-Methoxymethoxy-oct-2-yne CCCCCC#CCOCOC 542,329
Thioctic acid C1CSSC1CCCCC(= O)O 864
22 9,12-Octadecadienoic acid (Z,Z)- CCCCCC = CCC = CCCCCCCCC(= O)O 5,280,450
23 1,4-Cyclohexanedimethanamine C1CC(CCC1CN)CN 17,354
2-Butynamide, N-methyl- CC#CC(= O)NC 549,138
24 Chloroacetic acid, 1-cyclopentylet hyl ester CC(C1CCCC1)OC(= O)CCl 543,343
25 (4-Methoxymethoxy-hex-5-ynylidene) -cyclohexane COCOC(CCC = C1CCCCC1)C#C 542,331
26 1,4-Cyclohexanedimethanamine C1CC(CCC1CN)CN 17,354
2-Butynamide, N-methyl- CC#CC(= O)NC 549,138
3-Hydroxy-3-trifluoromethyl-2-oxa-spiro[5.5]undecan-5-one C1CCC2(CC1)COC(CC2 = O)(C(F)(F)F)O 557,008
27 Cyclohexanol, 2-(2-propynyloxy)-, trans- C#CCOC1CCCCC1O 12,522,342
5-Methoxymethoxyhexa-2,3-diene CC = C = CC(C)OCOC 542,425
1,4-Cyclohexanedimethanamine C1CC(CCC1CN)CN 17,354
28 Spirohexan-4-one, 5,5-dimethyl- CC1(CC2(C1 = O)CC2)C 534,214
3-Hydroxy-3-trifluoromethyl-2-oxa- spiro[5.5]undecan-5-one C1CCC2(CC1)COC(CC2 = O)(C(F)(F)F)O 557,008
1,4-Cyclohexanedimethanamine C1CC(CCC1CN)CN 17,354
29 9,12-Octadecadienoic acid (Z,Z)- CCCCCC = CCC = CCCCCCCCC(= O)O 5,280,450
30 1,4-Cyclohexanedimethanamine C1CC(CCC1CN)CN 17,354
1-Methoxymethoxy-oct-2-yne CCCCCC#CCOCOC 542,329
2-Butynamide, N-methyl- CC#CC(= O)NC 549,138
31 1,4-Cyclohexanedimethanamine C1CC(CCC1CN)CN 17,354
Spirohexan-4-one, 5,5-dimethyl- CC1(CC2(C1 = O)CC2)C 534,214
Cyclopentaneethanol, 2 (hydroxymethyl)-.beta.,3-dimethyl- CC1CCC(C1CO)C(C)CO 101,710
32 1,4-Cyclohexanedimethanamine C1CC(CCC1CN)CN 17,354
3-Hydroxy-3-trifluoromethyl-2-oxa- spiro[5.5]undecan-5-one C1CCC2(CC1)COC(CC2 = O)(C(F)(F)F)O 557,008
Chloroacetic acid, 1-cyclopentylethyl ester CC(C1CCCC1)OC(= O)CCl 543,343
33 Spirohexan-4-one, 5,5-dimethyl- CC1(CC2(C1 = O)CC2)C 534,214
1,4-Cyclohexanedimethanamine C1CC(CCC1CN)CN 17,354
Cyclopentaneethanol, 2-(hydroxymethyl)-.beta.,3-dimethyl- CC1CCC(C1CO)C(C)CO 101,710
34 1,4-Cyclohexanedimethanamine C1CC(CCC1CN)CN 17,354
3H-Naphth[1,8a-b]oxiren-2(1aH)-one, hexahydro- C1CCC23C(C1)CCC(= O)C2O3 548,904
2-Butynamide, N-methyl- CC#CC(= O)NC 549,138

Table 2.

GC–MS analysis of aqueous leaf of Corchorus olitorius

S/N Compound Canonical SMILES PubChem CID
1 Ethyl acetate CCOC(= O)C 8857
Acetic acid, pentyl ester CCCCCOC(= O)C 12,348
2 2-Propenal C = CC = O 7847
2-Propen-1-amine C = CCN 7853
3 2-Propenal C = CC = O 7847
2-Propen-1-amine C = CCN 7853
4 Acetic acid, butyl ester CCCCOC(= O)C 31,272
5 3-Hexanone, 2-methyl- CCCC(= O)C(C)C 23,847
Butyric acid, 2,2-dimethyl-, vinyl ester CCC(C)(C)C(= O)OC = C 537,729
6 o-Xylene CC1 = CC = CC = C1C 7237
Benzene, 1,3-dimethyl- CC1 = CC(= CC = C1)C 7929
7 n-Butyl ether CCCCOCCCC 8909
Formic acid, 3,3-dimethylbut-2-yl ester CC(C(C)(C)C)OC = O 54,488,145
8 4-Ethyl-4-methyl-5-methylene-[1,3] dioxolan-2-one CCC1(C(= C)OC(= O)O1)C 544,710
1,1-Cyclohexanedicarbonitrile C1CCC(CC1)(C#N)C#N 544,561
Ethane, 1-chloro-2-isocyanato- C(CCl)N = C = O 16,035
9 Acetamide, N-cyclohexyl- CC(= O)NC1CCCCC1 14,301
Acetamide, N-(4-hydroxycyclohexyl) -, cis- CC(= O)NC1CCC(CC1)O 90,074
L-Lyxose C(C(C(C(C = O)O)O)O)O 644,176
10 12,12-Dimethoxydodecanoic acid, methyl ester COC(CCCCCCCCCCC(= O)OC)OC 554,421
Hexadecane, 1,1-dimethoxy- CCCCCCCCCCCCCCCC(OC)OC 76,037
1-Propene, 3,3-dichloro- C = CC(Cl)Cl 11,244
11 Isopropyl isothiocyanate CC(C)N = C = S 75,263
Tridecyl (E)-2-methylbut-2-enoate CCCCCCCCCCCCCOC(= O)C(= CC)C 91,701,893
3-Phenylpropionic acid, 4-methoxy- 2-methylbutyl ester CC(CCOC)COC(= O)CCC1 = CC = CC = C1 91,702,047
12 Hexasiloxane, 11,11-dodecamethyl- C[Si](C)(O[Si](C)(C)O[Si](C)(C)O[Si](C)(C)Cl)O[Si](C)(C)O[Si](C)(C)Cl 553,580

Octasiloxane, 1,1,3,3,5,5,7,7,9,9,

11,11,13,13,15,15 hexadecamethyl-

C[Si](C)O[Si](C)(C)O[Si](C)(C)O[Si](C)(C)O[Si](C)(C)O[Si](C)(C)O[Si](C)(C)O[Si](C)C 6,329,087
9-Bromononanoic acid C(CCCCBr)CCCC(= O)O 548,221
13 Hexasiloxane, tetradecamethyl- C[Si](C)(C)O[Si](C)(C)O[Si](C)(C)O[Si](C)(C)O[Si](C)(C)O[Si](C)(C)C 7875
Octasiloxane, 1,1,3,3,5,5,7,7,9,9, 11,11,13,13,15,15-hexadecamethyl- C[Si](C)O[Si](C)(C)O[Si](C)(C)O[Si](C)(C)O[Si](C)(C)O[Si](C)(C)O[Si](C)(C)O[Si](C)C 6,329,087
1-Butyl-3,4-dihydroxy- CCCCCNC(= O)C1C(C(CN1CCCC)O)O 6,420,934
pyrrolidine- 2,5-dione C1C(C(= O)N(C1 = O)C2 = CC = C(C = C2)F)SCCN 2,756,427
14 11-Bromoundecanoic acid C(CCCCCBr)CCCCC(= O)O 17,812
2-Ethylacridine CCC1 = CC2 = CC3 = CC = CC = C3N = C2C = C1 610,161
N-Cyclododecylacetamide CC(= O)NC1CCCCCCCCCCC1 548,224
15 Octadecanoic acid CCCCCCCCCCCCCCCCCC(= O)O 5281
Polygalitol C1C(C(C(C(O1)CO)O)O)O 64,960
Acetamide, N-cyclohexyl-2-[(2-furanylmethyl)thio]- C1CCC(CC1)NC(= O)CSCC2 = CC = CO2 5,298,618
16 Butane, 1,1-dibutoxy- CCCCOC(CCC)OCCCC 22,210
1-Butoxy-1-isobutoxy-butane CCCCOC(CCC)OCC(C)C 545,190
1,1-Diisobutoxy-isobutane CC(C)COC(C(C)C)OCC(C)C 545,267
17 1-Butyl-3,4-dihydroxy-pyrrolidine- 2,5-dione CCCCN1C(= O)C(C(C1 = O)O)O 6,420,934
L-Galactose, 6-deoxy- CC(C(C(C(C = O)O)O)O)O 3,034,656
Nonanoic acid CCCCCCCCC(= O)O 8158
18 9,12-Octadecadienoic acid (Z,Z)- CCCCCC = CCC = CCCCCCCCC(= O)O 5,280,450
9-Octadecyne CCCCCCCCC#CCCCCCCCC 141,998
Undec-10-ynoic acid C#CCCCCCCCCC(= O)O 31,039
19 1,4-Cyclohexanedimethanamine C1CC(CCC1CN)CN 17,354
3H-Naphth[1,8a-b]oxiren-2(1aH)-one, hexahydro- C1CCC23C(C1)CCC(= O)C2O3 548,904
Cyclohexanone, 2-(2-propenyl)- C = CCC1CCCCC1 = O 78,944
20 1,4-Cyclohexanedimethanamine C1CC(CCC1CN)CN 17,354
Thioctic acid C1CSSC1CCCCC(= O)O 864
3H-Naphth[1,8a-b]oxiren-2(1aH)-one, hexahydro- C1CCC23C(C1)CCC(= O)C2O3 548,904
21 Spirohexan-4-one, 5,5-dimethyl- CC1(CC2(C1 = O)CC2)C 534,214
1-Methoxymethoxy-oct-2-yne CCCCCC#CCOCOC 542,329
1,4-Cyclohexanedimethanamine C1CC(CCC1CN)CN 17,354
22 Thioctic acid C1CSSC1CCCCC(= O)O 864
1,4-Cyclohexanedimethanamine C1CC(CCC1CN)CN 17,354
(4-Methoxymethoxy-hex-5-ynylidene -cyclohexane COCOC(CCC = C1CCCCC1)C#C 542,331
23 1,4-Cyclohexanedimethanamine C1CC(CCC1CN)CN 17,354

1-Naphthalenemethanol, decahydro-5 -(5-hydroxy-3-methyl-3-pentenyl)-1

,4a-dimethyl-6-methylene-, [1S-[1.alpha.,4a.alpha.,5.alpha.(E),8a.beta.]]-

CC(= CCO)CCC1C(= C)CCC2C1(CCCC2(C)CO)C 5,316,778
3-Hydroxy-3-trifluoromethyl-2-oxa spiro[5.5]undecan-5-one C1CCC2(CC1)COC(CC2 = O)(C(F)(F)F)O 557,008
24

1-Naphthalenemethanol, decahydro-5 -(5-hydroxy-3-methyl-3-pentenyl)-1

,4a-dimethyl-6-methylene-, [1S-[1.alpha.,4a.alpha.,5.alpha.(E),8a.be

ta.]]-

CC(= CCO)CCC1C(= C)CCC2C1(CCCC2(C)CO)C 5,316,778
1,4-Cyclohexanedimethanamine C1CC(CCC1CN)CN 17,354
3H-Naphth[1,8a-b]oxiren-2(1aH)-one, hexahydro- C1CCC23C(C1)CCC(= O)C2O3 548,904
25 Cyclobutanone, 2-methyl-2-oxiranyl CC1(CCC1 = O)C2CO2 534,052
1,4-Cyclohexanedimethanamine C1CC(CCC1CN)CN 17,354
2-Butynamide, N-methyl- CC#CC(= O)NC 549,138
26 Borolane, 3-ethyl-4-methyl-1,2,2-tris(1-methylethyl)- B1(CC(C(C1(C(C)C)C(C)C)CC)C)C(C)C 535,085
3H-Naphth[1,8a-b]oxiren-2(1aH)-one, hexahydro- C1CCC23C(C1)CCC(= O)C2O3 548,904
2-Butynamide, N-methyl- CC#CC(= O)NC 549,138
27 2-Butynamide, N-methyl- CC#CC(= O)NC 549,138
Cyclohexanol, 2-(2-propynyloxy)-, trans- C#CCOC1CCCCC1O 12,522,342
Spiro[2.3]hexan-4-one, 5,5-diethyl CCC1(CC2(C1 = O)CC2)CC 534,343
28

3- Oxatricyclo[4.2.0.0(2,4)]octan

-one

C1C2C(CC2 = O)C3C1O3 556,833
2-Butynamide, N-methyl- CC#CC(= O)NC 549,138
Cyclododecanol, 1-aminomethyl- C1CCCCCC(CCCCC1)(CN)O 533,851
29 Cyclobutanone, 2-methyl-2-oxiranyl CC1(CCC1 = O)C2CO2 534,052
Spiro[2.3]hexan-4-one, 5,5-diethyl CCC1(CC2(C1 = O)CC2)CC 534,343
2-Butynamide, N-methyl- CC#CC(= O)NC 549,138
30 Cyclohexanol, 2-(2-propynyloxy)-, trans- C#CCOC1CCCCC1O 12,522,342
8-Azabicyclo[3.2.1]octane-2-carboxylic acid, 3-hydroxy-8-methyl-, (2-endo,3-exo)- CN1C2CC1C(C(C(C2)O)C(= O)[O-])O 54,613,783
Cyclobutanone, 2-methyl-2-oxiranyl CC1(CCC1 = O)C2CO2 534,052
31 1,4-Cyclohexanedimethanamine C1CC(CCC1CN)CN 17,354
Spirohexan-4-one, 5,5-dimethyl- CCC1(CC2(C1 = O)CC2)CC 534,343
5-Methoxymethoxyhexa-2,3-diene CC = C = CC(C)OCOC 542,425
32 Spirohexan-4-one, 5,5-dimethyl- CCC1(CC2(C1 = O)CC2)CC 534,343
Cyclopentaneethanol, 2-(hydroxyl methyl)-.beta.,3-dimethyl-
5-Methoxymethoxyhexa-2,3-diene CC = C = CC(C)OCOC 542,425
33 Borolane, 3-ethyl-4-methyl-1,2,2-tris(1-methylethyl)- B1(CC(C(C1(C(C)C)C(C)C)CC)C)C(C)C 535,085
3H-Naphth[1,8a-b]oxiren-2(1aH)-one, hexahydro- C1CCC23C(C1)CCC(= O)C2O3 548,904
Thioctic acid C1CSSC1CCCCC(= O)O 864
34 5-Methoxymethoxyhexa-2,3-diene CC = C = CC(C)OCOC 542,425
Cyclohexanol, 2-(2-propynyloxy)-, trans- C#CCOC1CCCCC1O 12,522,342
Ethane, 1,2-dichloro-1,1,2-trifluoro- C(C(F)(F)Cl)(F)Cl 9631
35 5-Methoxymethoxyhexa-2,3-diene CC = C = CC(C)OCOC 542,425
Cyclohexanone, 2-(2 propenyl)- CC(= CC1CCCCC1 = O)C 592,361
3-Hydroxy-3-trifluoromethyl-2-oxa-spiro[5.5]undecan-5-one C1CCC2(CC1)COC(CC2 = O)(C(F)(F)F)O 557,008
36 1,4-Cyclohexanedimethanamine C1CC(CCC1CN)CN 17,354
Spirohexan-4-one, 5,5-dimethyl- CCC1(CC2(C1 = O)CC2)CC 534,343
3H-Naphth[1,8a-b]oxiren-2(1aH)-one, hexahydro- C1CCC23C(C1)CCC(= O)C2O3 548,904

Table 3.

GC–MS analysis of aqueous leaf of Cassia alata

S/N Compound Canonical SMILES PubChem CID
1 Acetic acid, butyl ester CCCCOC(= O)C 31,272
2 3-Hexanone, 2-methyl- CCCC(= O)C(C)C 23,847
Acetaldehyde, butylhydrazone CCCCNN = CC 9,601,789
Butyric acid, 2,2-dimethyl-, vinyl ester CCC(C)(C)C(= O)OC = C 537,729
3 o-Xylene CC1 = CC = CC = C1C 7237
1-Oxa-4-azaspiro[4.5]decan-4-oxyl, 3,3-dimethyl-8-oxo- CC1(COC2([N +]1 = O)CCC(= O)CC2)C 6,420,654
1,3,2-Dioxaborinane, 2-ethyl-5,5-dimethyl- B1(OCC(CO1)(C)C)CC 544,611
4 n-Butyl ether CCCCOCCCC 8909
Propanoic acid, 2-methylpropyl ester CCC(= O)OCC(C)C 10,895
5 Pyrazol-3(2H)-one, 4-(2-furfurylidenamino)-1,5-dimethyl-2-phenyl- CC1 = C(C(= O)N(N1C)C2 = CC = CC = C2)N = CC3 = CC = CO3 624,533
Cyclohexaneacetic acid, butyl este CCCCOC(= O)CC1CCCCC1 251,210

Furo[2′,3′:4,5]thiazolo[3,2-g]purine-8-methanol, 4-amino-6.alpha.,7,8,9a-tetrahydro-7-hydroxy-, [6aS-(6a.alpha.,7.alpha.,8.beta.,9a.alph

a.)]-

6 6-Azaestra-1,3,5(10),6,8-pentaen-1,7-one, 3-methoxy-
Pyrazol-3(2H)-one, 4-(2-furfurylidenamino)-1,5-dimethyl-2-phenyl- CC1 = C(C(= O)N(N1C)C2 = CC = CC = C2)N = CC3 = CC = CO3 624,533
1,3,3-Trimethyl-1-(4′-methoxyphenyl)-6-methoxyindane CC1(CC(C2 = C1C = CC(= C2)OC)(C)C3 = CC = C(C = C3)OC)C 624,568
7 Cyclohexane, 1R-acetamido-2,3-cis-epoxy-4-cis-formyloxy- CC(= O)NC1CCC(C2C1O2)OC = O 537,204
Cyclohexaneacetic acid, butyl este CCCCOC(= O)CC1CCCCC1 251,210
Cyclopentaneundecanoic acid C1CCC(C1)CCCCCCCCCCC(= O)O 534,549
8 Hexyl 2-hydroxyethyl sulfide CCCCCCSCCO 90,519
D-Arabinitol C(C(C(C(CO)O)O)O)O 94,154
Ribitol C(C(C(C(CO)O)O)O)O 6912
9 Silanol, trimethyl-, propanoate CCC(= O)O[Si](C)(C)C 519,321

6-Methyl-2-oxo-4-(4-trifluoromethyl-phenyl)-1,2,3,4-tetrahydro-pyrim

idine-5-carboxylic acid 2-methylsu

lfanyl-ethyl ester

2-Octanol, 8,8-dimethoxy-2,6-dimethyl- CC(CCCC(C)(C)O)CC(OC)OC 31,272
10 Ethanol, 2-phenoxy-, propanoate CCC(= O)OCCOC1 = CC = CC = C1 31,954
Tridecyl (E)-2-methylbut-2-enoate CCCCCCCCCCCCCOC(= O)C(= CC)C 91,701,893
11 Butane, 1,1-dibutoxy- CCCCOC(CCC)OCCCC 22,210
1-Butoxy-1-isobutoxy-butane CCCCOC(CCC)OCC(C)C 545,190

Table 4.

GC–MS analysis of aqueous leaf of Phyllanthus amarus

S/N Compound Canonical SMILES PubChem CID
1 Acetic acid, butyl ester CCCCOC(= O)C 31,272
2 3-Hexanone, 2-methyl- CCCC(= O)C(C)C 23,847
Butyric acid, 2,2-dimethyl-, vinylester CCC(C)(C)C(= O)OC = C 537,729
2-Methylvaleroyl chloride CCCC(C)C(= O)Cl 107,385
3 o-Xylene CC1 = CC = CC = C1C 7237
1-Hexene, 3,4-dimethyl- CCC(C)C(C)C = C 140,134
2H-Pyran-2-one, tetrahydro-5,6-dimethyl-, trans- CC1CCC(= O)OC1C 11,029,861
4 n-Butyl ether CCCCOCCCC 8909
Formic acid, 3,3-dimethylbut-2-ylester CC(C(C)(C)C)OC = O 54,488,145
5 Pentane, 1-bromo-3,4-dimethyl- CC(C)C(C)CCBr 544,665
Butanoic acid, butyl ester CCCCOC(= O)CCC 7983
Cyclododecylamine C1CCCCCC(CCCCC1)N 2897
6 Pentane, 1-bromo-3,4-dimethyl- CC(C)C(C)CCBr 544,665
Pentane, 2,3-dimethyl- CCC(C)C(C)C 11,260
2,4-Dipropyl-5-ethyl-1,3-dioxane CCCC1C(COC(O1)CCC)CC 221,917
7 n-Butyl isobutyl sulfide CCCCSCC(C)C 525,418
1,6-Anhydro-2,3-dideoxy-.beta.-D-erythro-hexopyranose C1CC2OCC(C1O)O2 560,102
Decanoic acid, propyl ester CCCCCCCCCC(= O)OCCC 121,739
8 6-Bromohexanoic acid, hexyl ester CCCCCCOC(= O)CCCCCBr 543,783
1,3-Hexanediol, 2-ethyl- CCCC(C(CC)CO)O 7211
1-Undecene, 2-methyl- CCCCCCCCCC(= C)C 87,689
9 1,3-Dioxane, 2-ethyl-5-methyl- CCC1OCC(CO1)C 141,976
Silanol, trimethyl-, propanoate CCC(= O)O[Si](C)(C)C 519,321
.beta.-D-Ribopyranoside, methyl 2, 3,4-tri-O-methyl- COC1COC(C(C1OC)OC)OC 21,140,439
10 Propane, 1-isothiocyanato- CCCN = C = S 69,403
Butane, 1,1′-[ethylidenebis(oxy)]bis- CCC(C)COC(C)OCC(C)CC 551,340
11 1-Butoxy-1-isobutoxy-butane CCCCOC(CCC)OCC(C)C 545,190
Para methadione CCC1(C(= O)N(C(= O)O1)C)C 8280
12 Butane, 1,1-dibutoxy- CCCCOC(CCC)OCCCC 22,210
1-Butoxy-1-isobutoxy-butane CCCCOC(CCC)OCC(C)C 545,190
Neopentyl isothiocyanate CC(C)(C)CN = C = S 136,393

Table 5.

GC–MS analysis of aqueous leaf of Vernonia amygdalina

S/N Compound Canonical SMILES PubChem CID
1 Ethyl acetate CCOC(= O)C 8857
2 2-Propenal C = CC = O 7847
2-Propen-1-amine C = CCN 7853
3 2-Propenal C = CC = O 7847
Aziridine, 2-methyl- CC1CN1 6377
4 Acetic acid, butyl ester CCCCOC(= O)C 31,272
5 Ethanamine, N-pentylidene- CCCCC = NCC 544,805
2-Propanone, propylhydrazone CCCNN = C(C)C 139,018
Oxirane, (1-methylethyl)- CC(C)C1CO1 102,618
6 Pyrazol-3(2H)-one, 4-(5-hydroxymethylfurfur-2-ylidenamino)-1,5-dimethyl-2-phenyl- CC1 = C(C(= O)N(N1C)C2 = CC = CC = C2)N = CC3 = CC = C(O3)CO 544,706
Ethylbenzene CCC1 = CC = CC = C1 7500
7 n-Butyl ether CCCCOCCCC 8909

Formic acid, 3,3-dimethylbut-2-yl

ester

CC(C(C)(C)C)OC = O 54,488,145
8 Ethane, 1-chloro-2-isocyanato- C(CCl)N = C = O 16,035
1-Hexene, 3,4-dimethyl- CCC(C)C(C)C = C 140,134
3,4,5-Trimethyldihydrofuran-2-one CC1C(C(= O)OC1C)C 544,600
9 Cyclohexane acetic acid, butyleste
Acetamide, N-cyclohexyl- CC(= O)NC1CCCCC1 14,301
Pentane, 1-bromo-3,4-dimethyl- CC(C)C(C)CCBr 544,665
10 N-Cyclododecylacetamide CC(= O)NC1CCCCCCCCCCC1 548,224
Cyclohexaneacetic acid, butyl este
Trisilane C[Si](C)(C)[Si](C)(C)[Si](C)(C)C1 = CC = CC2 = CC = CC = C21 142,270
11 1,6-Anhydro-2,3-dideoxy-.beta.-D-erythro-hexopyranose C1CC2OCC(C1O)O2 560,102
2-Butenoic acid, butyl ester CCCCOC(= O)C = CC 5,366,039
Morpholine C1COCCN1 8083
12 Dimethyl{bis[(3-methylbut-2-en-1-yl)oxy]}silane CC(= CCO[Si](C)(C)OCC = C(C)C)C 91,697,225
1-Propanol, 2,2-dimethyl-, acetate CC(= O)OCC(C)(C)C 13,552
Allyl(2-butoxy)dimethylsilane CCC(C)O[Si](C)(C)CC = C 554,670
13 Succinic acid, hexyl 3-oxobut-2-yl-ester CCCCCCOC(= O)CCC(= O)OC(C)C(= O)C 91,702,832
.beta.-D-Xylopyranoside, methyl 2,3,4-tri-O-methyl- COC1COC(C(C1OC)OC)OC2C(C(COC2OC)OC)OC 91,726,683
Tridecyl (E)-2-methylbut-2-enoate CCCCCCCCCCCCCOC(= O)C(= CC)C 91,701,893
14 Thiazole, 2-ethyl-4,5-dihydro- CCC1 = NCCS1 86,896
Cyclohexane, 1R-acetamido-2,3-cis-epoxy-4-cis-formyloxy- CC(= O)NC1CCC(C2C1O2)OC = O 537,204
Cyclopentane, 1-methyl-2-(4-methylpentyl)-, trans- CC1CCCC1CCCC(C)C 6,432,631
15 Cyclopentaneundecanoic acid C1CCC(C1)CCCCCCCCCCC(= O)O 534,549
Cyclohexane, 1R-acetamido-2,3-cis-epoxy-4-cis-formyloxy- CC(= O)NC1CCC(C2C1O2)OC = O 537,204
Pentadecanoic acid CCCCCCCCCCCCCCC(= O)O 13,849
16 Butane, 1,1-dibutoxy- CCCCOC(CCC)OCCCC 22,210
1-Butoxy-1-isobutoxy-butane CCCCOC(CCC)OCC(C)C 545,190
17 Dodecanoic acid CCCCCCCCCCCC(= O)O 3893

Carbamic acid, [1-(hydroxymethyl)-2-phenylethyl]-, 1,1-dimethylethyl

ester, (s)-

CC(C)(C)OC(= O)NC(CC1 = CC = CC = C1)CO 2,733,675
8-Chlorocapric acid C(CCCC(= O)O)CCCCl 548,250
18 Acetamide, N-cyclohexyl-2-[(2-furanylmethyl)thio]- C1CCC(CC1)NC(= O)CSCC2 = CC = CO2 5,298,618
n-Decanoic acid CCCCCCCCCC(= O)O 2969
Pentadecanoic acid CCCCCCCCCCCCCCC(= O)O 13,849
19 Acetamide, N-cyclohexyl-2-[(2-furanylmethyl)thio]- C1CCC(CC1)NC(= O)CSCC2 = CC = CO2 5,298,618
Propane, 1,2-dichloro-2-fluoro- CCCCCCCCCCCCCCC(= O)O 13,849
1-Butyl-3,4-dihydroxy-pyrrolidine- 2,5-dione CCCCN1C(= O)C(C(C1 = O)O)O 6,420,934
20 2-Butynamide, N-methyl- CC#CC(= O)NC 549,138
Cyclopentaneethanol, 2-(hydroxymethyl)-.beta.,3-dimethyl- CC1CCC(C1CO)C(C)CO 101,710
Ethanol, 2-bromo- C(CBr)O 10,898
21 Borolane, 3-ethyl-4-methyl-1,2,2-tris(1-methylethyl)- B1(CC(C(C1(C(C)C)C(C)C)CC)C)C(C)C 535,085
2-Butynamide, N-methyl- CC#CC(= O)NC 549,138
Cyclopentaneethanol, 2-(hydroxymethyl)-.beta.,3-dimethyl CC1CCC(C1CO)C(C)CO 101,710
22 Cyclohexanone, 2-(2-propenyl)- C = CCC1CCCCC1 = O 78,944
2-Butynamide, N-methyl- CC#CC(= O)NC 549,138
Cyclopentaneethanol, 2-(hydroxymethyl)-.beta.,3-dimethyl- CC1CCC(C1CO)C(C)CO 101,710
23 Cyclohexanone, 2-(2-propenyl)- C = CCC1CCCCC1 = O 78,944
1,4-Cyclohexanedimethanamine C1CC(CCC1CN)CN 17,354
Cyclohexanone, 2-(1-mercapto-1-methylethyl)-5-methyl-, trans- CC1CCC(C(= O)C1)C(C)(C)S 6,951,713
24 Cyclohexanone, 2-(1-mercapto-1-methylethyl)-5-methyl-, trans- CC1CCC(C(= O)C1)C(C)(C)S 6,951,713
Cyclohexanone, 2-(2-propenyl)- C = CCC1CCCCC1 = O 78,944
2-Butynamide, N-methyl- CC#CC(= O)NC 549,138
25 1,4-Cyclohexanedimethanamine C1CC(CCC1CN)CN 17,354
Borolane, 3-ethyl-4-methyl-1,2,2-tris(1-methylethyl)- B1(CC(C(C1(C(C)C)C(C)C)CC)C)C(C)C 535,085
(4-Methoxymethoxy-hex-5-ynylidene)-cyclohexane COCOC(CCC = C1CCCCC1)C#C 542,331
26 Cyclobutanone, 2-methyl-2-oxiranyl COCOC(CCC = C1CCCCC1)C#C 542,331
Borolane, 3-ethyl-4-methyl-1,2,2-tris(1-methylethyl)- B1(CC(C(C1(C(C)C)C(C)C)CC)C)C(C)C 535,085
Cyclohexanone, 2-(2-propenyl)- C = CCC1CCCCC1 = O 78,944
27 Cyclobutanone, 2-methyl-2-oxiranyl COCOC(CCC = C1CCCCC1)C#C 542,331
3-Oxatricyclo[4.2.0.0(2,4)]octan-7-one C1C2C(CC2 = O)C3C1O3 556,833
1-Methoxy-3-(2-hydroxyethyl)nonane CCCCCCC(CCO)CCOC 542,174
28 Cyclobutanone, 2-methyl-2-oxiranyl COCOC(CCC = C1CCCCC1)C#C 542,331
Cyclopentaneethanol, 2-(hydroxymethyl)-.beta.,3-dimethyl- CC1CCC(C1CO)C(C)CO 101,710
3-Oxatricyclo[4.2.0.0(2,4)]octan-7-one C1C2C(CC2 = O)C3C1O3 556,833
29 1-Methoxy-3-(2-hydroxyethyl)nonane CCCCCCC(CCO)CCOC 542,174
2-Tetradecanol CCCCCCCCCCCCC(C)O 20,831
2H-1,2,3-Triazol-4-amine, 2-cyclohexyl-5-nitro-, 1-oxide 249,914,956
30 1-Methoxy-3-(2-hydroxyethyl)nonane CCCCCCC(CCO)CCOC 542,174
3-Oxatricyclo[4.2.0.0(2,4)]octan-7-one C1C2C(CC2 = O)C3C1O3 556,833
Cyclopentaneethanol, 2-(hydroxymethyl)-.beta.,3-dimethyl- CC1CCC(C1CO)C(C)CO 101,710
31 Cyclohexanone, 2-(2-propenyl)- C = CCC1CCCCC1 = O 78,944
Oxonin, 4,5,6,7-tetrahydro-, (Z,Z)32
1-Methoxy-3-(2-hydroxyethyl)nonane CCCCCCC(CCO)CCOC 542,174
32 Cyclobutanone, 2-methyl-2-oxiranyl CC1CCC(C1CO)C(C)CO 101,710
2-Butynamide, N-methyl- CC#CC(= O)NC 549,138
3H-Naphth[1,8a-b]oxiren-2(1aH)-one, hexahydro- C1CCC = COC = CC1 5,365,711
33 Cyclohexanone, 2-(2-propenyl)- C = CCC1CCCCC1 = O 78,944
(4-Methoxymethoxy-hex-5-ynylidene)25-cyclohexane COCOC(CCC = C1CCCCC1)C#C 542,331
2-Butynamide, N-methyl- CC#CC(= O)NC 549,138

Table 6.

GC–MS analysis of aqueous bark of Anacardium occidentale

S/N Compound Canonical SMILES PubChem CID
1 Ethyl acetate CCOC(= O)C 8857
2 2-Propenal C = CC = O 7847
2-Propen-1-amine C = CCN 7853
3 Acetic acid, butyl ester CCCCOC(= O)C 31,272
4 Ethanamine, N-pentylidene- CCCCC = NCC 544,805
Acetaldehyde, butylhydrazone CCCCNN = CC 9,601,789
2-Propanone, propylhydrazone CCCNN = C(C)C 139,018
5 p-Xylene CC1 = CC = C(C = C1)C 7809
o-Xylene CC1 = CC = CC = C1C 7237
Ethylbenzene CCC1 = CC = CC = C1 7500
6 n-Butyl ether CCCCOCCCC 8909
Formic acid, 3,3-dimethylbut-2-yl ester CC(C(C)(C)C)OC = O 54,488,145
Ethanol, 2-butoxy- CCCCOCCO 8133
7 Pyrazol-3(2H)-one, 4-(5-hydroxymethylfurfur-2-ylidenamino)-1,5-dimethyl-2-phenyl- CC1 = C(C(= O)N(N1C)C2 = CC = CC = C2)N = CC3 = CC = C(O3)CO 544,706
Ethane, 1-chloro-2-isocyanato- C(CCl)N = C = O 16,035
1-Oxa-4-azaspiro[4.5]decan-4-oxyl, 3,3-dimethyl-8-oxo- CC1(COC2([N +]1 = O)CCC(= O)CC2)C 6,420,654
8 1-Octene, 2-methyl- CCCCCCC(= C)C 78,335
1-Pentene, 5-chloro-4-(chloromethyl)-2,4-dimethyl- CC(= C)CC(C)(CCl)CCl 544,717
4-t-Butylcyclohexylamine CC(C)(C)C1CCC(CC1)N 79,396
9 Butane, 2,2′-thiobis- C(CCO)CO.C(CSCCO)O 44,153,764
Dimethylamine, N-(neopentyloxy)- CC(C)(C)CON(C)C 548,341
3-Deoxy-d-mannitol C(C(CO)O)C(C(CO)O)O 560,035
10 Silane, trimethyl(2-methylpropoxy) CC(C)CO[Si](C)(C)C 519,538
1-Propanol, 2,2-dimethyl-, acetate CC(= O)OCC(C)(C)C 13,552
Propanoic acid, dimethyl(chloromethyl)silyl ester CCC(= O)O[Si](C)(C)CCl 554,674
11 2-Butylthiazoline CCCCC1 = NCCS1 206,597
4.beta.,5-Dimethyl-6,8-dioxa-3-thiabicyclo(3,2,1)octane 3-oxide CC1C2(OCC(O2)CS1 = O)C 538,769
Succinic acid, butyl decyl ester CCCCCCCCCCOC(= O)CCC(= O)OCCCC 91,701,657
12 1-Pentadecene, 2-methyl- CCCCCCCCCCCCCC(= C)C 520,456
Pyrido[2,3-d]pyrimidine, 4-phenyl- C1 = CC = C(C = C1)C2 = C3C = CC = NC3 = NC = N2 610,177
1-Benzenesulfonyl-1H-pyrrole C1 = CC = C(C = C1)S(= O)(= O)N2C = CC = C2 140,146
13 Acetamide, N-(4-hydroxycyclohexyl) -, cis- CC(= O)NC1CCC(CC1)O 90,074
Octasiloxane, 1,1,3,3,5,5,7,7,9,9,11,11,13,13,15,15-hexadecamethyl- C[Si](C)O[Si](C)(C)O[Si](C)(C)O[Si](C)(C)O[Si](C)(C)O[Si](C)(C)O[Si](C)(C)O[Si](C)C 6,329,087
1H-Indole, 5-methyl-2-phenyl- CC1 = CC2 = C(C = C1)NC(= C2)C3 = CC = CC = C3 83,247
14 Thiazole, 2-ethyl-4,5-dihydro- CCC1 = NCCS1 86,896
Cyclohexane, 1R-acetamido-2,3-cis-epoxy-4-cis-formyloxy- CC(= O)NC1CCC(C2C1O2)OC = O 537,204
Cyclopentaneundecanoic acid C1CCC(C1)CCCCCCCCCCC(= O)O 534,549
15 Cyclopentaneundecanoic acid C1CCC(C1)CCCCCCCCCCC(= O)O 534,549
Cyclohexane, 1R-acetamido-2,3-cis-epoxy-4-cis-formyloxy- CC(= O)NC1CCC(C2C1O2)OC = O 537,204
Decanoic acid, silver(1 +) salt 319,368,662
16 Butane, 1,1-dibutoxy- CCCCOC(CCC)OCCCC 22,210
1-Butoxy-1-isobutoxy-butane CCCCOC(CCC)OCC(C)C 545,190
Neopentyl isothiocyanate CC(C)(C)CN = C = S 136,393
17 Nonanoic acid CCCCCCCCC(= O)O 8158
.alpha.-D-Glucopyranose, 4-O-.beta.-D-galactopyranosyl C(C1C(C(C(C(O1)OC2C(OC(C(C2O)O)O)CO)O)O)O)O.O 522,113

n-

Decanoic acid

CCCCCCCCCC(= O)O 2969
18 Tridecanoic acid CCCCCCCCCCCCC(= O)O 12,530
Octasiloxane, 1,1,3,3,5,5,7,7,9,9,11,11,13,13,15,15-hexadecamethyl- C[Si](C)O[Si](C)(C)O[Si](C)(C)O[Si](C)(C)O[Si](C)(C)O[Si](C)(C)O[Si](C)(C)O[Si](C)C 6,329,087
19 Z,E-7,11-Hexadecadien-1-yl acetate CCCCC = CCCC = CCCCCCCOC(= O)C 5,363,282

2(1H)-Naphthalenone, octahydro-4a- methyl-7-(1-methylethyl)-, (4a.alp

ha.,7.beta.,8a.beta.) -

3,6-Epoxy-2H,8H-pyrimido[6,1-b][1,3]oxazocine-8,10(9H)-dione, 4-(ace

tyloxy)-3,4,5,6-tetrahydro-11-meth

yl-, [3R-(3.alpha.,4.beta.,6.alpha

.)]-

20 2-Butynamide, N-methyl- CC#CC(= O)NC 549,138
Chloroacetic acid, 1-cyclopentylethyl ester CC(C1CCCC1)OC(= O)CCl 543,343
Dodecanoic acid, 1,2,3-propanetriyl ester CCCCCCCCCCCC(= O)OCC(COC(= O)CCCCCCCCCCC)OC(= O)CCCCCCCCCCC 10,851
21 2-Butynamide, N-methyl- CC#CC(= O)NC 549,138
3H-Naphth[1,8a-b]oxiren-2(1aH)-one, hexahydro- C1CCC = COC = CC1 5,365,711
Cyclopentaneethanol, 2-(hydroxymethyl)-.beta.,3-dimethyl- CC1CCC(C1CO)C(C)CO 101,710
22 Cyclopentaneethanol, 2-(hydroxymethyl)-.beta.,3-dimethyl- CC1CCC(C1CO)C(C)CO 101,710
2-Butynamide, N-methyl- CC#CC(= O)NC 549,138
Spiro[2.3]hexan-4-one, 5,5-diethyl CC1(CC2(C1 = O)CC2)C 534,214
23 Cyclopentaneethanol, 2-(hydroxymethyl)-.beta.,3-dimethyl- CC1CCC(C1CO)C(C)CO 101,710
3-Oxatricyclo[4.2.0.0(2,4)]octan-7-one C1C2C(CC2 = O)C3C1O3 556,833
Cyclobutanone, 2-methyl-2-oxiranyl CC1CCC(C1CO)C(C)CO 101,710
24 Cyclobutanone, 2-methyl-2-oxiranyl CC1CCC(C1CO)C(C)CO 101,710
1-Methoxy-3-(2-hydroxyethyl)nonane CCCCCCC(CCO)CCOC 542,174
Cyclohexanone, 2-(2-propenyl)- C = CCC1CCCCC1 = O 78,944
25 3-Oxatricyclo[4.2.0.0(2,4)]octan-7-one C1C2C(CC2 = O)C3C1O3 556,833
1-Methoxy-3-(2-hydroxyethyl)nonane CCCCCCC(CCO)CCOC 542,174
Cyclobutanone, 2-methyl-2-oxiranyl CC1CCC(C1CO)C(C)CO 101,710
26 2-Butynamide, N-methyl- CC#CC(= O)NC 549,138
Cyclopentaneethanol, 2-(hydroxymethyl)-.beta.,3-dimethyl- CC1CCC(C1CO)C(C)CO 101,710
Chloroacetic acid, 1-cyclopentylethyl ester CC(C1CCCC1)OC(= O)CCl 543,343
27 1-Methoxy-3-(2-hydroxyethyl)nonane CCCCCCC(CCO)CCOC 542,174
Cyclohexanone, 2-(2-propenyl)- C = CCC1CCCCC1 = O 78,944
3-Oxatricyclo[4.2.0.0(2,4)]octan-7-one C1C2C(CC2 = O)C3C1O3 556,833
28 Cyclobutanone, 2-methyl-2-oxiranyl CC1CCC(C1CO)C(C)CO 101,710
1-Methoxy-3-(2-hydroxyethyl)nonane CCCCCCC(CCO)CCOC 542,174
2-Butynamide, N-methyl- CC#CC(= O)NC 549,138
29 Dodecanoic acid, 1,2,3-propanetriyl ester CCCCCCCCCCCC(= O)OCC(COC(= O)CCCCCCCCCCC)OC(= O)CCCCCCCCCCC 10,851
[1,2,4]Triazolo[1,5-a]pyrimidin-5(4H)-one, 7-amino-4-methyl- CN1C(= O)C = C(N2C1 = NC = N2)N 16,766,882
30 Cyclopentaneethanol, 2-(hydroxymethyl)-.beta.,3-dimethyl- CC1CCC(C1CO)C(C)CO 101,710
1-Methoxy-3-(2-hydroxyethyl)nonane CCCCCCC(CCO)CCOC 542,174
Cyclobutanone, 2-methyl-2-oxiranyl CC1CCC(C1CO)C(C)CO 101,710
31 Dodecanoic acid, 1,2,3-propanetriyl ester CCCCCCCCCCCC(= O)OCC(COC(= O)CCCCCCCCCCC)OC(= O)CCCCCCCCCCC 10,851
Cyclododecanol, 1-aminomethyl- C1CCCCCC(CCCCC1)(CN)O 533,851
Cyclopentaneethanol, 2-(hydroxymethyl)-.beta.,3-dimethyl- CC1CCC(C1CO)C(C)CO 101,710
32 Cyclopentaneethanol, 2-(hydroxymethyl)-.beta.,3-dimethyl- CC1CCC(C1CO)C(C)CO 101,710
1-Methoxy-3-(2-hydroxyethyl)nonane CCCCCCC(CCO)CCOC 542,174
Cyclobutanone, 2-methyl-2-oxiranyl CC1CCC(C1CO)C(C)CO 101,710
33 Cyclododecanol, 1-aminomethyl- C1CCCCCC(CCCCC1)(CN)O 533,851
1H-Imidazole, 2-ethyl-4,5-dihydro- CCC1 = NCCN1 13,590
1-Phenyloxycarbonyl-7-pentyl-7-aza bicyclo[4.1.0]heptane

Fig. 7.

Fig. 7

GC–MS spectrum of aqueous leaf of Azadirachta indica

Fig. 8.

Fig. 8

GC–MS spectrum of aqueous leaf of Corchorus olitorius

Fig. 9.

Fig. 9

GC–MS spectrum of aqueous leaf of Cassia alata

Fig. 10.

Fig. 10

GC–MS spectrum of aqueous leaf of Phyllanthus amarus

Fig. 11.

Fig. 11

GC–MS spectrum of aqueous leaf of Vernonia amygdalina

Fig. 12.

Fig. 12

GC–MS spectrum of aqueous bark of Anacardium occidentale

Molecular docking analysis

The molecular docking analysis and visualization of the selected proteins of Coronavirus-2 with the phytochemicals identified from the six medicinal plants (Azadirachta indica, Corchorus olitorius, Cassia alata, Phyllanthus amarus, Vernonia amygdalina, and Anacardium occidentale) were showed in Tables 7, 8, 9, 10, 11 and 12. The results revealed that the phytochemicals demonstrated high binding affinities against the proteins. This indicates that these phytochemicals could have substantial inhibitory effects against these proteins thus mitigating their pathogenic properties, ultimately leading to suppression of the pathogenesis of COVID-19.

Table 7.

Molecular docking score of the phytochemicals of Azadirachta indica against proteins of Coronavirus-2

Phytochemicals 2AJF 6LU7 6VXS 7BTF
Binding energies (kcal/mol) Binding energies (kcal/mol) Binding energies (kcal/mol) Binding energies (kcal/mol)
(4-Methoxymethoxy-hex-5-ynylidene) -cyclohexane  − 5.8  − 4.3  − 5.1  − 4.8
1,1-Di(isobutyl)acetone  − 5.5  − 4.9  − 5  − 5.6
1,1-Diisobutoxy-isobutane  − 4.9  − 4.8  − 5  − 5.2
1,3,3-Trimethyl-1-(4′-methoxyphenyl)-6-methoxyindane  − 7  − 6.4  − 7.3  − 7.8
1,4-Cyclohexanedimethanamine  − 4.9  − 4.6  − 4.7  − 4.7
1-Butoxy-1-isobutoxy-butane  − 4.6  − 4  − 4.5  − 4.5
Ethane, 1-chloro-2-isocyanato-  − 3.4  − 3.3  − 3  − 3.8
1-Methoxymethoxy-oct-2-yne  − 4.9  − 3.9  − 3.9  − 4.6
1-Pentadecyne  − 4.2  − 3.6  − 4.1  − 4.3
Cyclohexanol, 1R-4-acetamido-2,3-cis-epoxy-  − 5.3  − 5.1  − 4.7  − 4.8
1RA23A_Cyclohexanol  − 5.5  − 5.2  − 4.8  − 5.1
Butane, 2,2′-thiobis-  − 3.8  − 3.4  − 4  − 4
2-Butynamide, N-methyl-  − 4.5  − 3.5  − 3.8  − 4.3
1-Heptene, 2-methyl-  − 5  − 3.6  − 3.9  − 4.5
3-Hexanone, 2-methyl-  − 4.4  − 3.8  − 3.9  − 4.6
2_methylphenylester  − 5.9  − 6.1  − 6.2  − 6.4
2-Nonanone  − 4.4  − 3.8  − 4.1  − 4.7
2-Propen-1-amine  − 3.4  − 3.3  − 2.9  − 3.5
2-Propenal  − 3  − 2.6  − 2.4  − 3.2
3,4-Dimethylpent-2-en-1-ol  − 4.5  − 4.4  − 4.2  − 4.7
3_Hydroxy_3_trifluoromethyl_2_oxa_ spiro[5_5]undecan_5_one  − 7.1  − 6.3  − 6.5  − 6.9
3H-Naphth[1,8a-b]oxiren-2(1aH)-one, hexahydro-  − 5.8  − 5.3  − 5.2  − 6.1
4-(2-Amino-3-cyano-5-oxo-5,6,7,8-tetrahydro-4H-chromen-4-yl)-3,5-dimethyl-1H-pyrrole-2-carboxylic acid ethyl ester_yl)_3_5_dimethyl_1H_pyrrole_2_carboxylic acid ethyl ester  − 6.8  − 7.6  − 7.9  − 7.5
4a-Methyl-6,8-dioxa-3-thia-bicyclo(3,2,1)octane  − 4.1  − 4  − 3.6  − 4.1
5_Methoxymethoxyhexa_2_3_diene  − 4.1  − 3.4  − 3.7  − 4.2
9,12-Octadecadienoic acid (Z,Z)-  − 7.3  − 5.9  − 7.3  − 6.4
beta.-D-Ribopyranoside, methyl 2, 3,4-tri-O-methyl-  − 4.2  − 4.1  − 3.8  − 4.2
Butane, 1,1-dibutoxy-  − 4.3  − 3.9  − 4.3  − 4.2
Chloroacetic acid  − 3  − 3.1  − 3  − 3.9
Chloroacetic acid, 1-cyclopentylet hyl ester  − 5.1  − 4.4  − 4.8  − 5.2
Chloromethyl octyl ether  − 4.6  − 3.7  − 4.1  − 4.5
Cyclohexane, 1R-acetamido-2,3-cis-epoxy-4-cis-formyloxy-  − 5.7  − 4.9  − 5.4  − 5.1
Cyclohexanol_ 2_(2_propynyloxy)__ trans_  − 5.2  − 4.4  − 5.1  − 4.7
Cyclohexanone, 2-(2-propenyl)-  − 5.3  − 4.6  − 4.7  − 6
Dodecanoic acid  − 6.4  − 4.8  − 5.6  − 6
Ethyl Acetate  − 3.7  − 3.3  − 2.8  − 3.8
Ethylbenzene  − 6.1  − 4.4  − 4.5  − 5.5
Furo[′,3′:4,5]thiazolo[3,2-g]purine-8-methanol, 4-amino-6.alpha.,7,8,9a-tetrahydro-7-hydroxy-, [6aS(6a.alpha.,7.alpha.,8.beta.,9a.alpha.)]-  − 6  − 6.1  − 5.4  − 6.4
Hexadecanoic acid, 3,7,11,15-tetramethyl-, methyl ester  − 6.5  − 5.5  − 5.8  − 6.1
Methyl 6_O_[1_methylpropyl]__beta_ _d_galactopyranoside  − 5.6  − 5.7  − 5.6  − 5.7
n-Butyl ether  − 4  − 3.6  − 3.8  − 3.7
n-Decanoic acid  − 5.9  − 5  − 5.5  − 5.4
N1,N1-Dimethyl-N2-(1-phenyl–ethyl) -ethane-1,2-diamine  − 6.3  − 5.6  − 5.5  − 5.7
Nonanoic acid  − 5.5  − 4.8  − 5.2  − 5
o-Xylene  − 6.4  − 4.6  − 4.5  − 5.7
Propanoic acid  − 3.6  − 3.2  − 3.1  − 4.1
Thioctic acid  − 5.3  − 4.6  − 4.9  − 5
Undec-10-ynoic acid  − 5.6  − 4.9  − 5.5  − 5.5

Table 8.

Molecular docking analysis of the phytochemicals of Corchorus olitorius against proteins of Coronavirus-2

Phytochemicals 2AJF 6LU7 6VXS 7BTF
Binding energies (kcal/mol) Binding energies (kcal/mol) Binding energies (kcal/mol) Binding energies (kcal/mol)
1,1-Cyclohexanedicarbonitrile  − 5.1  − 5.1  − 4.6  − 5.4
1-Butoxy-1-isobutoxy-butane  − 4.8  − 4.6  − 4.7  − 4.8
Ethane, 1-chloro-2-isocyanato-  − 3.6  − 3.3  − 3  − 3.9
Tridecyl (E)-2-methylbut-2-enoate  − 3.6  − 3.1  − 3.2  − 3.5
11-Bromoundecanoic acid  − 6  − 4.9  − 5.4  − 5.6
12, 12-Dimethoxydodecanoic acid, methyl ester  − 5.1  − 4  − 4.5  − 4.4
2-Ethylacridine  − 7  − 6.4  − 6.9  − 7.1
3-Hexanone, 2-methyl-  − 4.7  − 3.8  − 3.9  − 4.5
2-Propen-1-amine  − 3.1  − 3.3  − 2.9  − 3.1
2-Propenal  − 2.9  − 2.6  − 2.4  − 3.2
3_4_dihydroxy_1_Butyl  − 3.8  − 4  − 3.4  − 4.1
3-Phenylpropionic acid, 4-methoxy- 2-methylbutyl ester  − 5.7  − 4.9  − 5.7  − 6.1
4-Ethyl-4-methyl-5-methylene-[1,3] dioxolan-2-one  − 4.8  − 4.4  − 4.1  − 5
9-Bromononanoic acid  − 5.5  − 4.4  − 5.3  − 5.9
Acetamide, N-(4-hydroxycyclohexyl) -, cis-  − 5.6  − 4.8  − 5  − 4.9
Acetamide, N-cyclohexyl-  − 4.9  − 4.3  − 5  − 5.1
Acetamide, N-cyclohexyl-2-[(2-furanylmethyl)thio]-  − 5.9  − 5.2  − 5.5  − 5.8
Acetic acid_ butyl ester  − 3.8  − 3.4  − 3.5  − 4.2
Acetic acid_ pentyl ester  − 4.1  − 3.6  − 3.9  − 4.6
Benzene, 1,3-dimethyl-  − 6.2  − 4.7  − 4.8  − 5.6
Butane, 1, 1-dibutoxy-  − 4.7  − 4  − 4.2  − 4
Butyric acid, 2,2-dimethyl-vinyl ester  − 4.2  − 4.2  − 4  − 4.8
ethyl Acetate  − 3.1  − 2.9  − 2.8  − 3.7
Formic acid, 3,3-dimethylbut-2-yl ester  − 4  − 3.9  − 3.8  − 4.3
Hexadecane, 1, 1- dimethoxy-  − 4.8  − 3.8  − 4.5  − 4.5
Isopropyl isothiocyanate  − 3.3  − 3.4  − 3.1  − 3.6
L-Lyxose  − 4.3  − 4.9  − 4
n-Butyl ether  − 3.8  − 3.6  − 3.9  − 3.6
N-Cyclododecylacetamide  − 6.3  − 6  − 5.8  − 6.3
o-Xylene  − 5.2  − 4.6  − 4.8  − 5.6
Octadecanoic acid  − 7  − 5.7  − 4.5  − 6.9
pyrrolidine_ 2_5_dione  − 4.4  − 4  − 5.9  − 4.7
Tridecyl (E)_2_methylbut_2_enoate  − 4.5  − 3.9  − 3.9  − 4.8

Table 9.

Molecular docking analysis of the phytochemicals of Cassia alata against proteins of Coronavirus-2

Phytochemicals 2AJF 6LU7 6VXS 7BTF
Binding energies (kcal/mol) Binding energies (kcal/mol) Binding energies (kcal/mol) Binding energies (kcal/mol)
1,3,3-Trimethyl-1-(4′-methoxyphenyl)-6-methoxyindane  − 6.9  − 6.3  − 7.2  − 7.8
1-Butoxy-1-isobutoxy-butane  − 4.6  − 4.2  − 4.5  − 4.4
1-Oxa-4-azaspiro[4.5]decan-4-oxyl, 3,3-dimethyl-8-oxo-  − 5.5  − 5.2  − 5.1  − 5.6
2-Octanol, 8,8-dimethoxy-2,6-dimethyl-  − 5.4  − 4.9  − 5.2  − 5.4
3-Hexanone, 2-methyl-  − 4.4  − 3.8  − 3.9  − 4.5
6-Methyl-2-oxo-4-(4-trifluoromethyl-phenyl)-1,2,3,4-tetrahydro-pyrim idine-5-carboxylic acid 2-methylsulfanyl-ethyl ester 2_methylsulfanyl_ethyl ester  − 7.1  − 6.9  − 7.5  − 7.2
Acetaldehyde, butylhydrazone  − 4.3  − 3.6  − 3.8  − 4.5
Acetic acid, butyl ester  − 4.2  − 3.4  − 3.6  − 4.2
Butane, 1, 1-dibutoxy-  − 4.5  − 3.9  − 4.3  − 4.3
Butyric acid, 2, 2-dimethyl-, vinyl ester  − 4.2  − 4.2  − 4  − 4.4
Cyclohexane, 1R-acetamido-2,3-cis-epoxy-4-cis-formyloxy-  − 5.6  − 4.9  − 5.4  − 5.8
Cyclohexaneacetic acid, butyl ester  − 5.2  − 4.1  − 5.2  − 5.4
Cyclopentaneundecanoic acid  − 7.6  − 5.6  − 6.6  − 6.3
D-Arabinitol  − 4.4  − 5.2  − 4  − 4.5
Ethanol, 2-phenoxy-, propanoate  − 5.1  − 4.5  − 5.2  − 5.6

Furo[2′,3′:4,5]thiazolo[3,2-g]purine-8-methanol, 4-amino-6.alpha.,7,8,9a-tetrahydro-7-hydroxy-, [6aS-(6a.alpha.,7.alpha.,8.beta.,9a.alph

a.)]-

 − 5.9  − 6.1  − 5.4  − 6.4
Hexyl 2-hydroxyethyl sulfide  − 4.6  − 4.5  − 4.4  − 4.5
n-Butyl ether  − 4.1  − 3.5  − 3.9  − 3.6
o-Xylene  − 5.3  − 4.6  − 4.5  − 5.7
Paramethadione  − 4.7  − 4.5  − 4.3  − 4.9
Propanoic acid, 2-methylpropyl ester  − 4.2  − 3.7  − 4  − 4.6
Pyrazol-3(2H)-one, 4-(2-furfurylidenamino)-1,5-dimethyl-2-phenyl-  − 6.4  − 6.9  − 6.8  − 6.5
Ribitol  − 5  − 5.2  − 4.8  − 5
Tridecyl (E)-2-methylbut-2-enoate  − 5.1  − 4.2  − 4.7  − 5.4

Table 10.

Molecular docking analysis of the phytochemicals of Phyllanthus amarus against proteins of Coronavirus-2

Phytochemicals 2AJF 6LU7 6VXS 7BTF
Binding energies (kcal/mol) Binding energies (kcal/mol) Binding energies (kcal/mol) Binding energies (kcal/mol)
1,3-Dioxane, 2-ethyl-5-methyl-  − 4.2  − 3.9  − 4  − 4.1
1, 3-Hexanediol, 2-ethyl-  − 4.8  − 4.7  − 4.5  − 4.6
1,6-Anhydro-2,3-dideoxy-.beta.-D-erythro-hexopyranose  − 4.9  − 4.5  − 4.1  − 4.8
1-Butoxy-1-isobutoxy_-butane  − 4.6  − 4.4  − 4.7  − 4.6
1-Hexene, 3, 4-dimethyl-  − 4.7  − 4.2  − 4.1  − 5
1-Undecene, 2-methyl-  − 5  − 3.9  − 4.5  − 4.3
2,4-Dipropyl-5-ethyl-1,3-dioxane  − 5  − 4.6  − 4.7  − 4.8
2_Methylvaleroyl chloride  − 4.3  − 4.1  − 3.8  − 4.4
2H-Pyran-2-one, tetrahydro-5,6-dimethyl-, trans-  − 4.9  − 4.2  − 4.2  − 5.4
3-Hexanone, 2-methyl-  − 4.4  − 3.8  − 3.9  − 4.5
6-Bromohexanoic acid, hexyl ester  − 5  − 3.8  − 4.7  − 4.6
Acetic acid, butyl ester  − 3.7  − 3.3  − 3.5  − 4.2
Butane, 1,1′-[ethylidenebis(oxy)]bis-  − 4.2  − 3.7  − 4.2  − 4.3
Butane, 1,1-dibutoxy-  − 4.5  − 3.8  − 4.1  − 4.1
Butanoic acid, butyl ester  − 4  − 3.7  − 4.1  − 4.2
Butyric acid, 2,2-dimethyl-, vinylester  − 4.4  − 4.2  − 4  − 4.5
Cyclododecylamine  − 6  − 5.2  − 5.5  − 6
Decanoic acid, propyl ester  − 4.8  − 4.1  − 4.2  − 4.4
Formic acid, 3,3-dimethylbut-2-ylester  − 4.1  − 3.9  − 3.8  − 4.1
n-Butyl ether  − 4  − 3.6  − 3.7  − 3.7
n-Butyl isobutyl sulfide  − 3.8  − 3.5  − 4  − 3.9
Neopentyl isothiocyanate  − 4.3  − 3.8  − 3.7  − 3.8
o-Xylene  − 6.4  − 4.6  − 4.5  − 5.6
Pentane, 1-bromo-3,4-dimethyl-  − 4.3  − 4.1  − 4  − 4.7
Pentane, 2,3-dimethyl-  − 4.4  − 3.7  − 3.8  − 4.8
Propane, 1-isothiocyanato-  − 3.4  − 3.2  − 3.2  − 3.3

Table 11.

Molecular docking analysis of the phytochemicals of Vernonia amygdalina against proteins of Coronavirus-2

Phytochemicals 2AJF 6LU7 6VXS 7BTF
Binding energies (kcal/mol) Binding energies (kcal/mol) Binding energies (kcal/mol) Binding energies (kcal/mol)
(4-Methoxymethoxy-hex-5-ynylidene)-cyclohexane  − 5.5  − 4.6  − 5.4  − 5.3
.beta.-D-Xylopyranoside, methyl 2,3,4-tri-O-methyl-  − 3.8  − 4  − 3.8  − 4.5
1,4-Cyclohexanedimethanamine  − 4.9  − 4.7  − 4.7  − 4.6
1,6-Anhydro-2,3-dideoxy-.beta.-D-erythro-hexopyranose  − 4.9  − 4.5  − 4.1  − 4.7
1-Butoxy-1-isobutoxy-butane  − 4.3  − 3.9  − 4.7  − 4.6
1-Butyl-3,4-dihydroxy-pyrrolidine- 2,5-dione  − 5.3  − 5.1  − 4.8  − 6.2
1-Hexene, 3,4-dimethyl-  − 4.7  − 4.2  − 4.1  − 5
1-Methoxy-3-(2-hydroxyethyl)nonane  − 5.3  − 4.9  − 5  − 5.7
1_Propanol_ 2_2_dimethyl__ acetate  − 4.1  − 3.8  − 3.8  − 4.3
2-Butenoic acid, butyl ester  − 4.3  − 3.7  − 3.9  − 4
2-Butynamide, N-methyl-  − 4.1  − 3.5  − 3.8  − 4.7
2-Propanone, propylhydrazone  − 4.2  − 3.7  − 4.1  − 4.2
2-Propen-1-amine  − 3.1  − 3  − 2.9  − 3.4
2-Propenal  − 3  − 2.6  − 2.4  − 3.2
2-Tetradecanol  − 6.4  − 5.1  − 5.9  − 6.1
2H-1,2,3-Triazol-4-amine, 2-cyclohexyl-5-nitro-, 1-oxide  − 6.4  − 5.6  − 5.9  − 6.6
3,4,5-Trimethyldihydrofuran-2-one  − 4.5  − 4.2  − 4.1  − 5.1
3-Oxatricyclo[4.2.0.0(2,4)]octan-7-one  − 4.7  − 4.5  − 4.4  − 5.1
3H-Naphth[1,8a-b]oxiren-2(1aH)-one, hexahydro-  − 5.8  − 5.3  − 5.2  − 5.9
8-Chlorocapric acid  − 5.7  − 5.1  − 5.3  − 5.3
Acetamide, N-cyclohexyl-  − 5.3  − 4.3  − 5  − 5
Acetamide, N-cyclohexyl-2-[(2-furanylmethyl)thio]-  − 5.9  − 5.6  − 5.4  − 6
Acetic acid, butyl ester  − 3.7  − 3.2  − 3.5  − 4
Aziridine, 2-methyl-  − 3.3  − 2.6  − 2.7  − 3.3
Butane, 1,1-dibutoxy-  − 4.2  − 3.7  − 4.1  − 4.1

Carbamic acid, [1-(hydroxymethyl)-2-phenylethyl]-, 1,1-dimethylethyl

ester, (s)-

 − 6.1  − 6.2  − 5.7  − 6.6
Cyclobutanone, 2-methyl-2-oxiranyl  − 4.3  − 4  − 3.9  − 4.5
Cyclohexane acetic acid, butyleste  − 5.4  − 4.4  − 5.2  − 4.8
Cyclohexane, 1R-acetamido-2,3-cis-epoxy-4-cis-formyloxy-  − 5.2  − 4.9  − 5.4  − 5.1
Cyclohexaneacetic acid_ butyl ester  − 5.6  − 4.6  − 5.2  − 5.1
Cyclohexanone, 2-(1-mercapto-1-methylethyl)-5-methyl-, trans-  − 5.2  − 5.3  − 5.1  − 5.7
Cyclohexanone, 2-(2-propenyl)-  − 5.1  − 4.5  − 4.7  − 5.4
Cyclopentane, 1-methyl-2-(4-methylpentyl)-, trans-  − 5.4  − 4.8  − 5.1  − 5.5
Cyclopentaneethanol, 2-(hydroxymethyl)-.beta.,3-dimethyl-  − 5.2  − 4.8  − 5.1  − 5.3
Cyclopentaneundecanoic acid  − 7.7  − 5.9  − 6.8  − 6.3
Dodecanoic acid  − 6.5  − 5.1  − 5.4  − 5.3
Ethanamine, N-pentylidene-  − 3.9  − 3.3  − 3.8  − 3.6
Ethane, 1-chloro-2-isocyanato-  − 3.5  − 3.3  − 3  − 3.8
Ethanol, 2-bromo-  − 2.9  − 2.9  − 2.7  − 3.3
Ethyl Acetate  − 3.5  − 3  − 2.9  − 3.9
Ethylbenzene  − 6.1  − 4.4  − 4.5  − 5.5

Formic acid, 3,3-dimethylbut-2-yl

ester

 − 4.1  − 3.9  − 3.8  − 4.2
Morpholine  − 3.2  − 3.3  − 3  − 4.2
n-Butyl ether  − 4.1  − 3  − 3.7  − 4.5
N-Cyclododecylacetamide  − 6.4  − 6  − 5.8  − 6.4
n-Decanoic acid  − 6.1  − 4.9  − 5.6  − 5.9
Oxirane, (1-methylethyl)-  − 3.5  − 3.2  − 4.8  − 3.7
Oxonin, 4,5,6,7-tetrahydro-, (Z,Z)32  − 4.9  − 4.6  − 3.3  − 5.4
Pentadecanoic acid  − 6.8  − 5.3  − 4.3  − 6.2
Pentane, 1-bromo-3,4-dimethyl-  − 4.3  − 4.1  − 5.9  − 4.7
Propane, 1,2-dichloro-2-fluoro-  − 3.7  − 3.6  − 4  − 3.7
Pyrazol-3(2H)-one, 4-(5-hydroxymethylfurfur-2-ylidenamino)-1,5-dimethyl-2-phenyl-  − 6.7  − 6.7  − 3.6  − 6.3
Succinic acid, hexyl 3-oxobut-2-yl-ester  − 4.7  − 4.1  − 6.7  − 5.5
Thiazole, 2-ethyl-4,5-dihydro-  − 3.7  − 3.2  − 4.8  − 3.7
Tridecyl (E)-2-methylbut-2-enoate  − 5.5  − 4.3  − 3.3  − 5.1

Table 12.

Molecular docking analysis of the phytochemicals of Anacardium occidentale against proteins of Coronavirus-2

Phytochemicals 2AJF 6LU7 6VXS 7BTF
Binding energies (kcal/mol) Binding energies (kcal/mol) Binding energies (kcal/mol) Binding energies (kcal/mol)
.alpha.-D-Glucopyranose, 4-O-.beta.-D-galactopyranosyl  − 6.3  − 6.4  − 6.3  − 6.2
1-Benzenesulfonyl-1H-pyrrole  − 6.7  − 5.6  − 5.6  − 6
1-Butoxy-1-isobutoxy-butane  − 4.6  − 4.1  − 4.6  − 4.4
1-Methoxy-3-(2-hydroxyethyl)nonane  − 5.7  − 4.8  − 5  − 5.6
1-Octene, 2-methyl-  − 4.2  − 3.7  − 4.1  − 4.6
1-Oxa-4-azaspiro[4.5]decan-4-oxyl, 3,3-dimethyl-8-oxo-  − 5.1  − 5.3  − 5.2  − 6
1-Pentadecene, 2-methyl-  − 5.6  − 3.8  − 4.6  − 4.8
1-Pentene, 5-chloro-4-(chloromethyl)-2,4-dimethyl-  − 4.9  − 4  − 4.2  − 4.7
1-Phenyloxycarbonyl-7-pentyl-7-aza bicyclo[4.1.0]heptane  − 6.4  − 6  − 6.7  − 6.2
1-Propanol,2,2-dimethyl- acetate  − 4  − 3.9  − 3.7  − 4.3
1H-Imidazole, 2-ethyl-4,5-dihydro-  − 4.3  − 3.6  − 3.5  − 4.6
1H-Indole, 5-methyl-2-phenyl-  − 6.9  − 7.2  − 7.4  − 7.1

2(1H)-Naphthalenone, octahydro-4a- methyl-7-(1-methylethyl)-, (4a.alp

ha.,7.beta.,8a.beta.) -

 − 6.2  − 6  − 6.2  − 6.7
2-Butylthiazoline  − 4.1  − 3.7  − 3.7  − 4
2-Butynamide, N-methyl-  − 4.1  − 3.5  − 3.8  − 4.3
2-Propanone, propylhydrazone  − 4.2  − 3.6  − 4.1  − 4.3
2-Propen-1-amine  − 3.4  − 3  − 2.9  − 3.5
3-Oxatricyclo[4.2.0.0(2,4)]octan-7-one  − 4.7  − 4.5  − 4.4  − 5.1
3H-Naphth[1,8a-b]oxiren-2(1aH)-one, hexahydro-  − 5.8  − 5.3  − 5.3  − 6.1
4.beta.,5-Dimethyl-6,8-dioxa-3-thiabicyclo(3,2,1)octane 3-oxide  − 4.7  − 4.6  − 4.1  − 4.7
4-t-Butylcyclohexylamine  − 5.6  − 5.1  − 5.3  − 5.7
Acetaldehyde, butylhydrazone  − 4.4  − 3.8  − 3.8  − 4.2
Acetamide, N-(4-hydroxycyclohexyl) -, cis-  − 5.6  − 4.9  − 5  − 5.1
Acetic acid, butyl ester  − 3.9  − 3.4  − 3.5  − 3.8
Butane, 1,1-dibutoxy-  − 4.2  − 3.7  − 4.3  − 4
Butane, 2,2′-thiobis-  − 4  − 3.5  − 3.8  − 4.2
Chloroacetic acid, 1-cyclopentylethyl ester  − 5.2  − 4.5  − 4.7  − 5.2
Cyclobutanone, 2-methyl-2-oxiranyl  − 4.3  − 4.1  − 3.9  − 4.5
Cyclododecanol, 1-aminomethyl-  − 6.1  − 5.8  − 6.1  − 6.8
Cyclohexane, 1R-acetamido-2,3-cis-epoxy-4-cis-formyloxy-  − 5.8  − 4.9  − 5.4  − 5.3
Cyclohexanone, 2-(2-propenyl)-  − 4.9  − 4.4  − 4.7  − 5.9
Cyclopentaneethanol, 2-(hydroxymethyl)-.beta.,3-dimethyl-  − 5.2  − 4.8  − 5.1  − 5.2
Cyclopentaneundecanoic acid  − 7.3  − 5.7  − 6.6  − 7.2
Dimethylamine, N-(neopentyloxy)-  − 3.8  − 3.7  − 3.6  − 4.2
Dodecanoic acid, 1,2, 3-propanetriyl ester  − 5.5  − 3.9  − 4.5  − 5
Ethanamine, N-pentylidene-  − 3.8 -3.3  − 3.8  − 4.6
Ethane, 1-chloro-2-isocyanato-  − 3.4  − 3  − 3  − 3.8
Ethanol, 2-butoxy-  − 4.2  − 3.6  − 3.8  − 4.1
Ethyl Acetate 3.3  − 3.2  − 2.8  − 3.7
Ethylbenzene  − 6.1  − 4.4  − 4.5  − 5.5
Formic acid, 3,3-dimethylbut-2-yl ester  − 3.9  − 3.8  − 3.8  − 4.2
n-Butyl ether  − 4  − 3.4  − 3.8  − 3.8
n-decanoic acid  − 5.8  − 4.9  − 5.6  − 6
Neopentyl isothiocyanate  − 3.8  − 3.6  − 3.7  − 3.9
Nonanoic acid  − 5.5  − 4.8  − 5  − 5.2
o-Xylene  − 5.2  − 4.6  − 4.5  − 5.7
p-Xylene  − 6.1  − 4.5  − 4.5  − 5.6
Pyrazol-3(2H)-one, 4-(5-hydroxymethylfurfur-2-ylidenamino)-1,5-dimethyl-2-phenyl-  − 6.7  − 6.7  − 6.7  − 6.6
Pyrido[2,3-d]pyrimidine, 4-phenyl-  − 6.8  − 6.3  − 6.6  − 7
Spiro[2.3]hexan-4-one, 5,5-diethyl  − 4.6  − 4.1  − 4.5  − 4.9
Succinic acid,butyl decyl ester  − 5.4  − 4.2  − 4.7  − 4.8
Thiazole, 2-ethyl-4,5-dihydro-  − 3.4  − 3.2  − 3.3  − 3.5
Tridecanoic acid  − 6.5  − 5.1  − 6  − 6
Z,E-7,11-Hexadecadien-1-yl acetate  − 5.7  − 4.5  − 5  − 5.2

Molecular docking analysis of SARS coronavirus spike receptor-binding domain (2AJF)

The in silico analysis of 2AJF binding with the best ligands with the highest docking scores is shown in Fig. 13, Fig. 14, and Table 13. Out of the investigated phytochemicals from Azadirachta indica, 9,12-Octadecadienoic acid (Z,Z)- exhibited the best docked score (− 7.3 kcal/mol) with the SARS coronavirus spike receptor-binding domain (2AJF). The amino acid residues- ALA-348, SER-44, PHE-40, PHE-390, ASN-394, TRP-349, GLU-37, GLY-352, ASP-350, LEU-351, and ARG-393 participated extensively in the interaction at the binding pocket of 2AJF. N-Cyclododecylacetamide from Corchorus olitorius displayed the best docked score (− 6.4 kcal/mol) with 2AJF having TRP-69, PHE-40, ASP-350, LEU-73, PHE-390, ARG-393, LEU-391, LEU-100, ALA-99, SER-77, and PHE-32 amino acid residues participating in the interaction. Similarly, cyclopentaneundecanoic acid from Cassia alata demonstrated the best docked score (− 7.6 kcal/mol) with 2AJF having ASP-350, PHE-30, TRP-69, ARG-393, PHE-390, LEU-391, LEU-73, ALA-99, GLN-102, GLN-101, SER-77, and LEU-100 amino acid residues participating in the interaction. Of all the phytochemicals present in Phyllanthus amarus, o-Xylene revealed the best docked score (− 6.4 kcal/mol) with 2AJF. PRO-415, THR-414, ALA-413, THR-434, GLU-345, PHE-438, and HIS-540 amino acid residues participating in the interaction at the binding pocket of 2AJF. Cyclopentaneundecanoic acid from Vernonia amygdalina displayed the best docked score (− 7.7 kcal/mol) with 2AJF having PHE-69, PHE-40, PHE-32, LEU-73, SER-77, LEU-100, ALA-99, GLN-102, ASN-394, ARG-393, ASP-350, PHE-390, and LEU-391 amino acid residues participating in the interaction. Furthermore, cyclopentaneundecanoic acid from Anacardium occidentale demonstrated the best docked score (− 7.3 kcal/mol) with 2AJF having LEU-351, PHE-40, TRP-69, ASP-350, GLU-37, GLY-352, PHE-390, ARG-393, LEU-391, LEU-73, LEU-100, and ALA-99 amino acid residues participating in the interaction.

Fig. 13.

Fig. 13

Docking analysis and visualization of 2AJF binding with the best ligands with the highest docking score

Fig. 14.

Fig. 14

Binding-interaction analysis of 2AJF binding with the best ligands with the highest docking score

Table 13.

Binding analysis of the best ligand with 2AJF (SARS coronavirus spike receptor-binding domain)

ID Ligand Amino acid residues involved in the interaction Polar information
A 9,12-Octadecadienoic acid (Z,Z)- ALA-348, SER-44, PHE-40, PHE-390, ASN-394, TRP-349, GLU-37, GLY-352, ASP-350, LEU-351, ARG-393

ASP-350 2.8 Å,

ARG-393 3.5 Å

B N-Cyclododecylacetamide TRP-69, PHE-40, ASP-350, LEU-73, PHE-390, ARG-393, LEU-391, LEU-100, ALA-99, SER-77, PHE-32 ASP-350 2.4 Å
C Cyclopentaneundecanoic acid ASP-350, PHE-30, TRP-69, ARG-393, PHE-390, LEU-391, LEU-73, ALA-99, GLN-102, GLN-101, SER-77, LEU-100

GLN-101 4.6 Å

ALA-99 2.4 Å

LEU-100 2.3 Å

D o-Xylene PRO-415, THR-414, ALA-413, THR-434, GLU-345, PHE-438, HIS-540 No polar contacts
E Cyclopentaneundecanoic acid PHE-69, PHE-40, PHE-32, LEU-73, SER-77, LEU-100, ALA-99, GLN-102, ASN-394, ARG-393, ASP-350, PHE-390, LEU-391 No polar contacts
F Cyclopentaneundecanoic acid LEU-351, PHE-40, TRP-69, ASP-350, GLU-37, GLY-352, PHE-390, ARG-393, LEU-391, LEU-73, LEU-100, ALA-99

ASP-350 2.8 Å

ARG-393 3.5 Å

Molecular docking analysis of SARS-COV2 major protease (6LU7)

Figure 15, Fig. 16, and Table 14 present the molecular docking analysis and visualization of 6LU7 binding with the best ligands with the highest docking scores. Of all the examined phytocompounds from Azadirachta indica, 4-(2-Amino-3-cyano-5-oxo-5,6,7,8-tetrahydro-4H-chromen-4-yl)-3,5-dimethyl-1H-pyrrole-2-carboxylic acid ethyl esteryl) 3,5, dimethyl, 1H pyrrole-2-carboxylic acid ethyl ester displayed the highest docked score (− 7.6 kcal/mol) with the SARS-COV2 major protease (6LU7). MET-49, TYR-54, GLN-189, ARG-188, ASP-187, HIS-164, MET-165, GLU-166, HIS-163, LEU-141, SER-144, LYS-145, ASN-142, GLY-143, and CYS-145 amino acid residues participating in the interaction at the binding pocket of 6LU7. 2-Ethylacridine from Corchorus olitorius presented the highest affinity score (− 6.9 kcal/mol) with 6LU7 having ARG-105, ILE-106, GLN-110, OHE-294, ASP-153, ILE-152, ASN-151, and PHE-8 amino acid residues participating in the interaction. Equally, 6-Methyl-2-oxo-4-(4-trifluoromethyl-phenyl)-1,2,3,4-tetrahydro-pyrim idine-5-carboxylic acid 2-methylsulfanyl-ethyl ester 2-methylsulfanyl ethyl ester from Cassia alata produced the greatest docked score (− 6.9 kcal/mol) with 6LU7 having PHE-140, LEU-141, HIS-172, GLU-166, MET-165, SER-144, ASN-142, GLY-143, CYS-145, HIS-163, HIS-164, GLN-189, HIS-41, THR-26, LEU-27, and MET-49 amino acid residues participating in the interaction. Out of all the phytocompounds present in Phyllanthus amarus, cyclododecylamine displayed the peak affinity score (− 5.2 kcal/mol) with 6LU7. PHE-294, GLN-110, ASN-151, THR-111, SER-158, LYS-102, and ASP-153 amino acid residues “participated” in the interaction at the binding pocket of 6LU7. N-Cyclododecylacetamide from Vernonia amygdalina exhibited the best docked score (− 6.0 kcal/mol) with 6LU7 having G;U-240, VAL-202, HIS-246, ILE-249, ILE-200, ASN-203, PRO-293, GLN-110, GLY-109, and PRO-108 amino acid residues participating in the interaction. Additionally, 1H-Indole, 5-methyl-2-phenyl- from Anacardium occidentale demonstrated the best docked score (− 7.2 kcal/mol) with 6LU7 having LEU-141, ASN-142, GLY-143, MET-165, HIS-164, CYS-145, HIS-41, GLN-189, TYR-54, ASP-187, ARG-188, and MET-49 amino acid residues participating in the interaction.

Fig. 15.

Fig. 15

Docking analysis and visualization of 6LU7 binding with the best ligands with the highest docking score

Fig. 16.

Fig. 16

Bind-interaction analysis of 6LU7 binding with the best ligands with the highest docking score

Table 14.

Binding analysis of the best ligand with 6lu7 (COVID-19 main protease)

ID S/N Ligand Amino acid residues involved in the interaction Polar information
A 1 4-(2-Amino-3-cyano-5-oxo-5,6,7,8-tetrahydro-4H-chromen-4-yl)-3,5-dimethyl-1H-pyrrole-2-carboxylic acid ethyl esteryl) 3,5, dimethyl, 1H pyrrole-2-carboxylic acid ethyl ester

MET-49, TYR-54, GLN-189, ARG-188, ASP-187, HIS-164, MET-165, GLU-166, HIS-163

LEU-141, SER-144, LYS-145, ASN-142, GLY-143, CYS-145

GLY-143 2.9 Å

HIS-163 3.4 Å

SER-144 2.7 Å

B 2 2-Ethylacridine ARG-105, ILE-106, GLN-110, OHE-294, ASP-153, ILE-152, ASN-151, PHE-8 No polar contacts
C 3 6-Methyl-2-oxo-4-(4-trifluoromethyl-phenyl)-1,2,3,4-tetrahydro-pyrim idine-5-carboxylic acid 2-methylsulfanyl-ethyl ester 2-methylsulfanyl ethyl ester PHE-140, LEU-141, HIS-172, GLU-166, MET-165, SER-144, ASN-142, GLY-143, CYS-145, HIS-163, HIS-164, GLN-189, HIS-41, THR-26, LEU-27, MET-49 No polar contacts
D 4 Cyclododecylamine PHE-294, GLN-110, ASN-151, THR-111, SER-158, LYS-102, ASP-153

ASP-153 2.5 Å

SER-158 2.0 Å

E 5 N-Cyclododecylacetamide

G;U-240, VAL-202, HIS-246, ILE-249, ILE-200, ASN-203, PRO-293, GLN-110, GLY-109

PRO-108

No polar contacts
F 6 1H-Indole, 5-methyl-2-phenyl- LEU-141, ASN-142, GLY-143, MET-165, HIS-164, CYS-145, HIS-41, GLN-189, TYR-54, ASP-187, ARG-188, MET-49 No polar contacts

Molecular docking analysis of ADP ribose phosphatase of NSP3 from SARS CoV-2 (6VXS)

The computational analysis of 6VXS binding with the best ligand with the highest docking score is shown in Fig. 17, Fig. 18, and Table 15. Out of the investigated phytochemicals from Azadirachta indica, 4-(2-Amino-3-cyano-5-oxo-5,6,7,8-tetrahydro-4H-chromen-4-yl)-3,5-dimethyl-1H-pyrrole-2-carboxylic acid ethyl esteryl), 3,5-dimethyl-1H-pyrrole-2-carboxylic acid ethyl ester exhibited the best docked score (− 7.9 kcal/mol) with the ADP ribose phosphatase of NSP3 from SARS CoV-2 (6VXS). The amino acid residues taking part in the interaction at the binding pocket of 6VXS are LEU-160, PHE-156, VAL-155, ALA-154, GLY-130, ILE-131, PHE-132, SER-128, ALA-38, VAL-49, ALA-129, LEU-160, PRO-136, and PRO-125. 2-Ethylacridine from Corchorus olitorius displayed the best docked score (− 7.5 kcal/mol) with 6VXS having LEU-160, PHE-156, VAL-155, ALA-154, ASP-22, ILE-23, and LEU-126 amino acid residues participating in the interaction. Similarly, 6-Methyl-2-oxo-4-(4-trifluoromethyl-phenyl)-1,2,3,4-tetrahydro-pyrim idine-5-carboxylic acid 2-methylsulfanyl-ethyl ester 2-methylsulfanyl ethyl ester from Cassia alata demonstrated the best docked score (− 5.5 kcal/mol) with 6VXS having PRO-125, LEU-126, ILE-23, ALA-165, VAL-49, ALA-154, ALA-21, ASP-22, ASP-157, LEU-160, GLY-130, and VAL-155 amino acid residues participating in the interaction. Of all the phytochemicals present in Phyllanthus amarus, cyclododecylamine revealed the best docked score (− 5.5 kcal/mol) with 2AJF. VAL-49, PHE-156, VAL-155, ALA-154, ALA-21, ILE-23, and ASP-22 amino acid residues participated in the interaction at the binding pocket of 6VXS. Cyclopentaneundecanoic acid from Vernonia amygdalina displayed the best docked score (− 6.8 kcal/mol) with 6VXS having LEU-160, VAL-155, GLY-130, ILE-23, VAL-49, VAL-125, ALA-129, ALA-154, LEU-126, PHE-156, and ALA-21 amino acid residues participating in the interaction. Furthermore, 1H-Indole, 5-methyl-2-phenyl- from Anacardium occidentale demonstrated the best docked score (− 7.4 kcal/mol) with 6VXS having ALA-154, LEU-126, ILE-23, VAL-49, and LEU-160 amino acid residues participating in the interaction.

Fig. 17.

Fig. 17

Docking analysis and visualization of 6VXS binding with the best ligands with the highest docking score

Fig. 18.

Fig. 18

Bind-interaction analysis of 6VXS binding with the best ligands with the highest docking score

Table 15.

Binding analysis of the best ligand with 6VXS (ADP ribose phosphatase of NSP3 from SARS CoV-2)

ID S/N Ligand Amino acid residues involved in the interaction Polar information
A 1 4-(2-Amino-3-cyano-5-oxo-5,6,7,8-tetrahydro-4H-chromen-4-yl)-3,5-dimethyl-1H-pyrrole-2-carboxylic acid ethyl esteryl), 3,5-dimethyl-1H-pyrrole-2-carboxylic acid ethyl ester LEU-160, PHE-156, VAL-155, ALA-154, GLY-130, ILE-131, PHE-132, SER-128, ALA-38, VAL-49, ALA-129, LEU-160, PRO-136, PRO-125 ALA-129 3.5 Å
B 2 2-Ethylacridine LEU-160, PHE-156, VAL-155, ALA-154, ASP-22, ILE-23, LEU-126 PHE-156 3.5 Å
C 3 6-Methyl-2-oxo-4-(4-trifluoromethyl-phenyl)-1,2,3,4-tetrahydro-pyrim idine-5-carboxylic acid 2-methylsulfanyl-ethyl ester 2-methylsulfanyl ethyl ester PRO-125, LEU-126, ILE-23, ALA-165, VAL-49, ALA-154, ALA-21, ASP-22, ASP-157, LEU-160, GLY-130, VAL-155 VAL-155 3.2 Å
D 4 Cyclododecylamine VAL-49, PHE-156, VAL-155, ALA-154, ALA-21, ILE-23, ASP-22 No polar contacts
E 5 Cyclopentaneundecanoic acid LEU-160, VAL-155, GLY-130, ILE-23, VAL-49, VAL-125, ALA-129, ALA-154, LEU-126, PHE-156, ALA-21 ALA-21 2.8 Å
F 6 1H-Indole, 5-methyl-2-phenyl- ALA-154, LEU-126, ILE-23, VAL-49, LEU-160 ALA-154 2.5 Å

Molecular docking analysis of SARS CoV-2 RNA-dependent RNA polymerase (7BTF)

Figure 19, Fig. 20, and Table 16 show the molecular docking analysis and visualization of 7BTF binding with the best ligand with the highest docking score. Of all the examined phytocompounds from Azadirachta indica, 1,3,3-Trimethyl-1-(4′-methoxyphenyl)-6-methoxyindane displayed the highest docked score (− 7.8 kcal/mol) with the SARS CoV-2 RNA-dependent RNA polymerase (7BTF). The participating amino acid residues in the interaction at the binding pocket of 7BTF are ASN-710, LYS-38, ASN-36, LYS-47, PHE-45, VAL-39, PHE-45, PHE-32, THR-203, ASP-205, ASP-33, ILE-34, and LYS-70. 2-Ethylacridine from Corchorus olitorius presented the highest affinity score (− 7.1 kcal/mol) with 6LU7 having LEU-368, ALA-372, PHE-365, LEU-369, PHE-503, TYR-512, LEU-511, and TRP-506 amino acid residues participating in the interaction. Equally, 6-Methyl-2-oxo-4-(4-trifluoromethyl-phenyl)-1,2,3,4-tetrahydro-pyrim idine-5-carboxylic acid 2-methylsulfanyl-ethyl ester 2-methylsulfanyl ethyl ester from Cassia alata produced the greatest docked score (− 7.2 kcal/mol) with 7BTF having LYS-70, LYS-47, ASP-205, THR-203, ASN-36, LYS-38, ASN-710, VAL-39, ASP-33, ILE-34, PHE-32, and PHE-45 amino acid residues participating in the interaction. Out of all the phytocompounds present in Phyllanthus amarus, cyclododecylamine displayed the peak affinity score (− 6.0 kcal/mol) with 7BTF. The amino acid residues- ALA-372, TRP-506, LEU-511, PHE-365, LEU-368, LEU-369, TYR-512, and PHE-503 participated extensively in the interaction at the binding pocket of 7BTF. Carbamic acid [1-(hydroxymethyl)-2-phenylethyl]-1,1-dimethylethyl ester, (s)- from Vernonia amygdalina exhibited the best docked score (− 6.6 kcal/mol) with 7BTF having PHE-45, LEU-46, PHE-32, ILE-34, PHE-45, LYS-47, THR-48, ASN-49, and LYS-70 amino acid residues participating in the interaction. Additionally, 1H-Indole, 5-methyl-2-phenyl- from Anacardium occidentale demonstrated the best docked score (− 7.1 kcal/mol) with 7BTF having ASP-215, THR-203, ASN-206, ASP-205, ILE-34, PHE-32, PHE-45, LYS-47, THR-48, and LYS-70 amino acid residues participating in the interaction.

Fig. 19.

Fig. 19

Docking analysis and visualization of 7B binding with the best ligands with the highest docking score

Fig. 20.

Fig. 20

Bind-interaction analysis of 7B binding with the best ligands with the highest docking score

Table 16.

Binding analysis of the best ligand with 7BTF (SARS CoV-2 RNA-dependent RNA polymerase)

ID S/N Ligand Amino acid residues involved in the interaction Polar information
A 1 1,3,3-Trimethyl-1-(4′-methoxyphenyl)-6-methoxyindane ASN-710, LYS-38, ASN-36, LYS-47, PHE-45, VAL-39, PHE-45, PHE-32, THR-203, ASP-205, ASP-33, ILE-34, LYS-70 ASN-36 2.1 Å
B 2 2-Ethylacridine LEU-368, ALA-372, PHE-365, LEU-369, PHE-503, TYR-512, LEU-511, TRP-506 No polar contacts
C 3 6-Methyl-2-oxo-4-(4-trifluoromethyl-phenyl)-1,2,3,4-tetrahydro-pyrim idine-5-carboxylic acid 2-methylsulfanyl-ethyl ester 2-methylsulfanyl ethyl ester LYS-70, LYS-47, ASP-205, THR-203, ASN-36, LYS-38, ASN-710, VAL-39, ASP-33, ILE-34, PHE-32, PHE-45 ASN-36 2.1 Å
D 4 Cyclododecylamine ALA-372, TRP-506, LEU-511, PHE-365, LEU-368, LEU-369, TYR-512, PHE-503 No polar contacts
E 5

Carbamic acid, [1-(hydroxymethyl)-2-phenylethyl]-, 1,1-dimethylethyl

ester, (s)-

PHE-45, LEU-46, PHE-32, ILE-34, PHE-45, LYS-47, THR-48, ASN-49, LYS-70

LEU-46 2.1 Å

THR-48 2.3 Å

F 6 1H-Indole, 5-methyl-2-phenyl- ASP-215, THR-203, ASN-206, ASP-205, ILE-34, PHE-32, PHE-45, LYS-47, THR-48, LYS-70

ASP-215 2.7 Å

THR-203 2.6 Å

ASN-206 2.1 Å, 2.3 Å, 2.6 Å

In silico toxicity and ADME of the phytochemicals with best docking score

Molecular properties of the phytochemicals with best docking score

Results in Table 17 showed the molecular properties of the phytochemicals with the best docking score. 6-Methyl-2-oxo-4-(4-trifluoromethyl-phenyl)-1,2,3,4-tetrahydro-pyrim idine-5-carboxylic acid 2-methylsulfanyl-ethyl ester 2-methylsulfanyl ethyl ester was found to have the highest molecular weight of 374.364, followed by 4-(2-Amino-3-cyano-5-oxo-5,6,7,8-tetrahydro-4H-chromen-4-yl)-3,5-dimethyl-1H-pyrrole-2-carboxylic acid ethyl esteryl) 3,5, dimethyl, 1H pyrrole-2-carboxylic acid ethyl ester with 365.394. Similarly, 4-(2-Amino-3-cyano-5-oxo-5,6,7,8-tetrahydro-4H-chromen-4-yl)-3,5-dimethyl-1H-pyrrole-2-carboxylic acid ethyl esteryl) 3,5, dimethyl, 1H pyrrole-2-carboxylic acid ethyl ester and 2-Ethylacridine have the highest surface area of 151.006. Furthermore, 9,12-Octadecadienoic acid (Z,Z)- has the highest lipophilicity of 5.8845.

Table 17.

Molecular properties of phytochemicals with best docking scores

Ligand Molecular weight Lipophilicity (Log P) Number of rotatable bonds Number of acceptors Number of donors Surface area
9,12-Octadecadienoic acid (Z,Z)- 280.452 5.8845 14 1 1 124.52
N-Cyclododecylacetamide 225.376 3.7958 1 1 1 100..189
Cyclopentaneundecanoic acid 254.414 5.1622 11 1 1 112.163
o-Xylene 106.166 2.30344 0 0 0 50.161
4-(2-Amino-3-cyano-5-oxo-5,6,7,8-tetrahydro-4H-chromen-4-yl)-3,5-dimethyl-1H-pyrrole-2-carboxylic acid ethyl esteryl) 3,5, dimethyl, 1H pyrrole-2-carboxylic acid ethyl ester 365.394 2.62302 3 6 2 151.006
2-Ethylacridine 355.394 2.62302 3 6 2 151.006

6-Methyl-2-oxo-4-(4-trifluoromethyl-phenyl)-1,2,3,4-tetrahydro-pyrim

idine-5-carboxylic acid 2-methylsulfanyl-ethyl ester

374.364 2.3295 5 4 2 146.541
Cyclododecylamine 163.339 3.6184 0 1 1 83.088
1H-Indole, 5-methyl-2-phenyl- 207.275 4.14332 1 0 1 94.744
1,3,3-Trimethyl-1-(4′-methoxyphenyl)-6-methoxyindane 296.41 4.6911 3 2 0 132.629

Carbamic acid, [1-(hydroxymethyl)-2-phenylethyl]-, 1,1-dimethylethyl

ester, (s)-

251.326 2.1147 4 3 2 107..970

Predicted absorption properties of the phytochemicals with best docking score

The predicted absorption properties of the phytochemicals were reported in Table 18. The result showed that 9,12-Octadecadienoic acid (Z,Z)- has the highest water solubility value of − 5.862 while Cyclododecylamine has the lowest valve of − 2.651. O-Xylene has the highest permeability value of 1.574, but 6-Methyl-2-oxo-4-(4-trifluoromethyl-phenyl)-1,2,3,4-tetrahydro-pyrim idine-5-carboxylic acid 2-methylsulfanyl-ethyl ester 2-methylsulfanyl ethyl ester has the least permeability valve of 0.927. Likewise, all the phytochemicals can be readily absorbed by the intestinal cells, with 2-Ethylacridine having the highest intestinal absorption of 98.202%. All the phytochemicals are substrate of P-glycoprotein expect 9,12-Octadecadienoic acid (Z,Z)-, cyclopentaneundecanoic acid, and o-Xylene. None of the phytochemicals is neither inhibitor of P-glycoprotein-I nor P-glycoprotein-II.

Table 18.

Predicted absorption properties of phytochemicals with best docking scores

Ligand Water solubility (log mol/L) Caco2 permeability (log Papp in 10–6 cm/s) Intestinal absorption (% absorbed) Skin permeability (log Kp) P-glycoprotein substrate P-glycoprotein I inhibitor P-glycoprotein II inhibitor
9,12-Octadecadienoic acid (Z,Z)-  − 5.862 1.57 92.329  − 2.723 No No No
N-Cyclododecylacetamide  − 3.487 1.477 92.574  − 2.178 Yes No No
Cyclopentaneundecanoic acid  − 5.364 1.566 92.079  − 2.716 No No No
o-Xylene  − 2.552 1.574 96.713  − 1.236 No No No
4-(2-Amino-3-cyano-5-oxo-5,6,7,8-tetrahydro-4H-chromen-4-yl)-3,5-dimethyl-1H-pyrrole-2-carboxylic acid ethyl esteryl) 3,5, dimethyl, 1H pyrrole-2-carboxylic acid ethyl ester  − 3.763 0.964 88.393  − 3.659 Yes No No
2-Ethylacridine -5.037 1.355 98.202 -2.246 YES NO NO

6-Methyl-2-oxo-4-(4-trifluoromethyl-phenyl)-1,2,3,4-tetrahydro-pyrim

idine-5-carboxylic acid 2-methylsulfanyl-ethyl ester

-4.159 0.927 89.551 -3.136 YES NO NO
Cyclododecylamine  − 2.651 1.341 92.472  − 2.402 Yes No No
1H-Indole, 5-methyl-2-phenyl-  − 5.006 1.541 93.388  − 2.507 Yes No No

Predicted in vivo distribution, clearance, and cytochrome P450 promiscuity of the phytochemicals with best docking score

Table 19 shows the predicted in vivo distribution of the phytochemicals. All the phytochemicals tested have relatively low steady-state volume of distribution. Similarly, the predicted result demonstrated that Cyclododecylamine has the highest unbound fraction in the human blood. All the phytochemicals have relatively low blood–brain barrier and CNS permeability values.

Table 19.

Predicted in vivo distribution and excretion properties of phytochemicals with best docking scores

Ligand VDss (human) Fraction unbound (human) BBB permeability CNS permeability Total Clearance Renal OCT2 substrate
9,12-Octadecadienoic acid (Z,Z)-  − 0.587 0.054  − 0.142  − 1.6 1.936 No
N-Cyclododecylacetamide 0.277 0.49 0.494  − 3.388 1.426 No
Cyclopentaneundecanoic acid  − 0.568 0.084  − 0.034  − 1.567 1.465 No
o-Xylene 0.325 0.362 0.409  − 1.677 0.269 No
4-(2-Amino-3-cyano-5-oxo-5,6,7,8-tetrahydro-4H-chromen-4-yl)-3,5-dimethyl-1H-pyrrole-2-carboxylic acid ethyl esteryl) 3,5, dimethyl, 1H pyrrole-2-carboxylic acid ethyl ester 0.119 0.324  − 0.113  − 3.032 0.996 No
2-Ethylacridine 0.449 0.197 0.526  − 1.372 0.829 No

6-Methyl-2-oxo-4-(4-trifluoromethyl-phenyl)-1,2,3,4-tetrahydro-pyrim

idine-5-carboxylic acid 2-methylsulfanyl-ethyl ester

 − 0.279 0.14  − 0.332  − 2.922 0.141 No
Cyclododecylamine 0.682 0.599 0.397  − 3.167 0.707 No
1H-Indole, 5-methyl-2-phenyl- 0.284 0.106 0.571  − 1.384 0.417 No
1,3,3-Trimethyl-1-(4′-methoxyphenyl)-6-methoxyindane  − 5463 1.791 98.046  − 2.41 0.137 No

Carbamic acid, [1-(hydroxymethyl)-2-phenylethyl]-, 1,1-dimethylethyl

ester, (s)-

 − 2.895 1.284 92.921  − 3.189 0.481 No

The predicted clearance of each of the phytochemicals showed that 9,12-Octadecadienoic acid (Z,Z)- has the highest total clearance rate of 1.936, while 1,3,3-Trimethyl-1-(4′-methoxyphenyl)-6-methoxyindane has the least clearance rate of − 0.137. None of the phytochemicals is substrate of renal organic cation transporter.

Table 20 displays the predicted human cytochrome P450 promiscuity of the phytochemicals. All the phytocompounds were neither substrate nor inhibitor of CYP2D6 expect 2-Ethylacridine which could be inhibitor of CYP2D6. Similarly, none of the phytochemicals expect cyclopentaneundecanoic acid is inhibitor of CYP3A4. Cyclododecylamine and 4-(2-Amino-3-cyano-5-oxo-5,6,7,8-tetrahydro-4H-chromen-4-yl)-3,5-dimethyl-1H-pyrrole-2-carboxylic acid ethyl esteryl) 3,5, dimethyl, 1H pyrrole-2-carboxylic acid ethyl ester were neither substrate nor inhibitor of any of the cytochrome P450 tested in this study.

Table 20.

Predicted cytochrome P450 promiscuity of phytochemicals with best docking scores

Ligand CYP2D6 substrate CYP3A4 substrate CYP1A2 inhibitor CYP2C19 inhibitor CYP2C9 inhibitor CYP2D6 inhibitor CYP3A4 inhibitor
9,12-Octadecadienoic acid (Z,Z)- No Yes Yes No No No No
N-Cyclododecylacetamide No No No No No No No
Cyclopentaneundecanoic acid No No Yes No No No Yes
o-Xylene No No No No No No No
4-(2-Amino-3-cyano-5-oxo-5,6,7,8-tetrahydro-4H-chromen-4-yl)-3,5-dimethyl-1H-pyrrole-2-carboxylic acid ethyl esteryl) 3,5, dimethyl, 1H pyrrole-2-carboxylic acid ethyl ester No No No No No No No
2-Ethylacridine No YesS Yes Yes Yes Yes No

6-Methyl-2-oxo-4-(4-trifluoromethyl-phenyl)-1,2,3,4-tetrahydro-pyrim

idine-5-carboxylic acid 2-methylsulfanyl-ethyl ester

No YesS No No No No No
Cyclododecylamine No No No No No No No
1H-Indole, 5-methyl-2-phenyl- No Yes Yes Yes Yes No No
1,3,3-Trimethyl-1-(4′-methoxyphenyl)-6-methoxyindane No Yes Yes Yes No No No

Carbamic acid, [1-(hydroxymethyl)-2-phenylethyl]-, 1,1-dimethylethyl

ester, (s)-

No No Yes No No No No

Predicted toxicological profile of the phytochemicals with best docking score

Table 21 displays the predicted toxicological profile of the phytochemicals with best docking scores with the pathogenic proteins. All the phytochemicals have no mutagenic potentials against bacteria (AMES toxicity) except 2-Ethylacridine and 1,3,3-Trimethyl-1-(4′-methoxyphenyl)-6-methoxyindane could be toxic to bacteria. None of the phytochemicals has adverse effects on the hepatic cells expect 9,12-Octadecadienoic acid (Z,Z)-; 4-(2-Amino-3-cyano-5-oxo-5,6,7,8-tetrahydro-4H-chromen-4-yl)-3,5-dimethyl-1H-pyrrole-2-carboxylic acid ethyl esteryl) 3,5, dimethyl, 1H pyrrole-2-carboxylic acid ethyl ester; and 6-Methyl-2-oxo-4-(4-trifluoromethyl-phenyl)-1,2,3,4-tetrahydro-pyrim idine-5-carboxylic acid 2-methylsulfanyl-ethyl ester 2-methylsulfanyl ethyl ester. The phytochemicals are not inhibitors of human ether-a-go-go-related gene (hERG) hERG I and hERG II except 2-Ethylacridine and 6-Methyl-2-oxo-4-(4-trifluoromethyl-phenyl)-1,2,3,4-tetrahydro-pyrim idine-5-carboxylic acid 2-methylsulfanyl-ethyl ester 2-methylsulfanyl ethyl ester which may inhibit hERG II. All the phytochemicals have relatively low maximum recommended tolerated dose values.

Table 21.

In silico toxicological properties of phytochemicals with best docking scores

Ligand Max. tolerated dose (human) Oral rat acute toxicity (LD50) Oral rat chronic toxicity (LOAEL) T.Pyriformis toxicity Minnow toxicity AMES toxicity hERG I inhibitor hERG II inhibitor Hepatotoxicity Skin Sensitisation
9,12-Octadecadienoic acid (Z,Z)-  − 0.827 1.429 3.187 0.701  − 1.31 No No No Yes Yes
N-Cyclododecylacetamide 0.546 2.236 0.956 0.892 1.754 No No No No Yes
Cyclopentaneundecanoic acid  − 0.762 1.559 3.027 0.812  − 0.855 No No No No Yes
o-Xylene 0.921 1.841 2.169  − 0.022 1.31 No No No No No
4-(2-Amino-3-cyano-5-oxo-5,6,7,8-tetrahydro-4H-chromen-4-yl)-3,5-dimethyl-1H-pyrrole-2-carboxylic acid ethyl esteryl) 3,5, dimethyl, 1H pyrrole-2-carboxylic acid ethyl ester  − 0.35 2.548 0.34 0.417 1.616 No No No Yes No
2-Ethylacridine  − 0.255 1.739 1.146 1.188  − 0.7 Yes No Yes No No

6-Methyl-2-oxo-4-(4-trifluoromethyl-phenyl)-1,2,3,4-tetrahydro-pyrim

idine-5-carboxylic acid 2-methylsulfanyl-ethyl ester

2.712 0.99 1.052 1,393 No No Yes Yes No
Cyclododecylamine 0.611 2,258 1.166 0.51 1.838 No No No No Yes
1H-Indole, 5-methyl-2-phenyl- 0.147 1.904 1.002 1.274 0.554 No No No No No
1,3,3-Trimethyl-1-(4′-methoxyphenyl)-6-methoxyindane 0.149 2.468 2.065 1.151  − 0.314 Yes No No No No

Carbamic acid, [1-(hydroxymethyl)-2-phenylethyl]-, 1,1-dimethylethyl

ester, (s)-

0.732 2.024 1.767 0.904 1.183 No No No No No

Discussion

SARS-CoV-2 has affected more than 212 million people with over 4.43 million fatalities globally, and the genome of this virus is associated with diverse mutation; hence, recognizing specific inherent proteins of this virus by small molecule drugs is a prime target in combatting its virulence (Kangarshahi et al. 2021; Patel et al. 2021). These proteins are of both structural (four) and non-structural (sixteen) functionality comprising approximately 7096 amino acid residues (Naqvi et al. 2020; Kumar et al. 2021). Hence, making multi-viral protein-targeting molecules suitable as potential anti-coronavirus drug candidates (Wu et al. 2020).

Oxidative stress, redox imbalance, cell death, inflammation, cytokine production, and other pathophysiological processes have been implicated in the pathogenesis of respiratory viral infections including severe acute respiratory syndrome coronavirus (SARSCoV) (Oladele et al. 2020a, b, c, d). Weakening antioxidant protective mechanisms and excessive secretion of reactive oxygen species (ROS) are vital for viral replication and the consequent virus-linked pathological conditions (Khomich et al. 2018). In this study, we reported the cytoprotective and antioxidative properties of six tropical plants used traditionally to prevent and treat COVID-19 and its associated clinical symptoms.

Several antioxidant assays were employed in this study to establish the antioxidant potentials of the aqueous extracts of the selected tropical plants. As shown in the results, all the extracts demonstrated substantial free radical scavenging and antioxidants activities. This indicates that these extracts serve as reservoirs of vital and medicinal phytochemicals such as phenols, flavonoids, tannins, and so on whose therapeutic efficacies have been scientifically established. These findings were corroborated by the GCMS analysis of the extracts revealing the phytochemicals present in them.

Scientific evidences have reported that activation of the oxidative stress machinery is vital in the initiation of severe lung injury in SARS-CoV-infected patients which associated with expression of transcription factors, including NF-kB, leading to an aggravated proinflammatory host response (Smith et al. 2012; Lin et al. 2006). Abrogation of this initiation process by phytochemicals present in extracts could provide health benefits and potent therapeutic solution to COVID-19 pandemic. Polyphenols and flavonoids have been reported in an in silico study to mitigate pathogenesis of COVID-19 (Oladele et al. 2021a, b).

It is well established that there exists link between oxidative stress and inflammation (Sies 2015). Activation of NF-kB with consequent excessive secretion proinflammatory cytokines is considered a crucial mediator in SARS-CoV pathophysiology (Smith et al. 2012; Padhan et al. 2008). In this study, the in vitro anti-inflammatory property of the extracts was assessed by evaluating their nitric oxide inhibitory effect. As depicted in the results, all the extracts exhibited significant nitric oxide inhibitory effect confirming their anti-inflammatory potentials. Nitric oxide is a mediator of nitrosative stress and also an inflammatory biomarker that has been implicated in pathogenesis of many diseases. Similarly, nitric oxide is mainly synthesized via inducible nitric oxide synthase (iNOS) under inflammatory conditions.

As shown in this present study, all the extracts contain phytochemicals that have inhibitory effect against the ADP ribose phosphatase. The macrodomain of the ADP ribose phosphatase has been documented to significantly contributes to the alteration of the viral-induced immune response of the host and enhance viral RNA replication owing to induced nuclear translocation of host type 1 interferon (INF-1) regulatory factor 3 (IRF3), an important innate immunity mediator. This property of seizing the host immune system makes this protein a unique drug target (Fehr et al. 2018; Michalska et al. 2020; Patel et al 2021). The in silico inhibition of this protein by the phytochemicals present in these extracts is indicative of their immune enhancing activity, thus playing vital role in mitigating the pathobiology of COVID-19.

Mainly associated with viral RNA replication and transcription, the RNA-dependent RNA polymerase (RdRp) in conjunction with other structural proteins such as Nsp 7 and Nsp 8 exhibits profound polymerase activity, making this enzyme a key target of most antiviral agents (Kirchdoerfer and Ward 2019; Jiang et al. 2021; Malone et al. 2022). In this study, phytochemicals present in these extracts remarkably inhibited RNA-dependent RNA polymerase as showed in the computational study, supporting the antiviral activity of these phytochemicals.

The result of this study also demonstrated that the phytochemicals contained in the aqueous extracts of the tropical plants markedly inhibited the SARS-CoV-2 main protease (Mpro). Mpro is a critical highly conserved protein engaged in the replication and maturation processes of SARS-CoV-2. It comprises of chymotrypsin and picornavirus 3 C protease-like catalytic domains. This protein is emerging as a significant antiviral target because of its role in proteolytic processing of viral polyproteins (Joshi et al. 2021; Abdul Amin et al. 2021).

Nsp9 and primase were also inhibited by the phytochemicals using computational approach. Nsp9, a 113 amino acid dimeric protein primarily functions in binding single stranded nucleic acids (DNA and RNA) during viral replication and its impairment, yields the synthesis of defective RNAs in the virus (Kangarshahi et al. 2021). Unlike other viral proteins/enzymes, the primase is vastly associated with de novo initiation of nucleic acids making it one of key enzymes driving the infectivity of SARS-CoV-2 (Konkolova et al. 2020). All these pathogenic proteins of COVID-19 were inhibited by the phytochemicals in the plant extracts suggesting them as potential anti-COVID-19 drug candidates.

The results of the solubility, pharmacodynamics, pharmacokinetics, and toxicological profiles of the phytochemicals were investigated as a systemic virtual screening of drugs and potential drugs. This is done as alternative to in vivo examinations which are essential complements in drug discovery. The Lipinski’s rule is a major criterion to evaluate drug likeliness and to determine if a compound with a particular pharmacological and biological action has physical and chemical properties that could favour its activities in human. The molecular properties of the compounds based on the computed partition coefficient (log P) showed that the phytochemicals have relatively good lipophilicity as the logP values were less than 5 (Lipinski et al. 1997; Hughes et al. 2008). All the tested phytochemicals could be maintained in the system at appropriate concentrations.

All the phytochemicals except 9,12-Octadecadienoic acid (Z,Z)-, cyclopentaneundecanoic acid, and o-Xylene were predicted to be substrates of P-glycoprotein, a member of the ATP-binding cassette transporter and an efflux membrane transporter found chiefly in epithelial cells. Conversely, none of the phytochemicals is predicted as P-glycoprotein inhibitors. This suggested that they don’t disrupt the normal physiological activities of P-glycoprotein including restricting the active uptake and the distribution of drugs (Srivalli and Lakshmi 2012).

Cytochrome P450 is a group of enzymes that perform crucial functions in drug metabolism. They play a major role in the activation of drugs and also in the toxicity effects of the drugs. None of the phytochemicals expect cyclopentaneundecanoic acid is inhibitor of CYP3A4. Also, all the phytocompounds were neither substrate nor inhibitor of CYP2D6 expect 2-Ethylacridine which could be inhibitor of CYP2D6. The lipophilicity of the drug appears to correlate negatively to metabolism-related toxicity. Furthermore, none of the phytochemicals were a substrate of renal organic cation transporter; this implies that they are possibly cleared through other available routes including bile, sweat, and so on. Furthermore, the phytochemical displayed substantial clearance results. Drug clearance is related to bioavailability and is crucial for determining dosing rates to achieve steady-state concentrations.

Acute and chronic toxicity were also carried out on the phytochemicals to determine the safety of the compounds when administered. Exposure to low-moderate doses/concentrations of xenobiotics over long period of time is of significant concern in many treatment strategies or interventions. Chronic studies are designed to identify the lowest dose of a compound that can result in adverse effects (LOAEL), and the highest dose at which no adverse effects are observed (NOAEL). The toxicological assessment of the phytochemicals revealed that all the phytochemicals are not hepatoxic expect 9,12-Octadecadienoic acid (Z,Z)-, 4-(2-Amino-3-cyano-5-oxo-5,6,7,8-tetrahydro-4H-chromen-4-yl)-3,5-dimethyl-1H-pyrrole-2-carboxylic acid ethyl esteryl) 3,5, dimethyl, 1H pyrrole-2-carboxylic acid ethyl ester, and 6-Methyl-2-oxo-4-(4-trifluoromethyl-phenyl)-1,2,3,4-tetrahydro-pyrimidine-5-carboxylic acid 2-methylsulfanyl-ethyl ester 2-methylsulfanyl ethyl ester. Similarly, only 1,3,3-Trimethyl-1-(4′-methoxyphenyl)-6-methoxyindane and 2-Ethylacridine are bacterial mutagenic potential drugs using the AMES toxicity examination. However, all the compounds showed high level of toxicity to Tetrahymena pyriformis toxicity test. None of the phytochemicals is an inhibitor to hERG I, but 2-Ethylacridine and 6-Methyl-2-oxo-4-(4-trifluoromethyl-phenyl)-1,2,3,4-tetrahydro-pyrim idine-5-carboxylic acid 2-methylsulfanyl-ethyl ester 2-methylsulfanyl ethyl ester may be inhibitors to hERG II. Inhibition of the hERG potassium channel could result in delayed ventricular repolarisation leading to a severe disturbance in the normal cardiac rhythm and disrupt hepatic functions (Oso et al. 2019; Oladele et al. 2021a, b).

Conclusion

Put together, the data from this study demonstrated that the phytochemicals of the selected tropical medicinal plants displayed substantial binding affinity to the binding pockets of four main pathogenic proteins of Coronavirus-2 indicating these phytochemicals as putative inhibitors of Coronavirus-2. The reaction between these phytocompounds and proteins of Coronavirus-2 could alter the pathophysiology of COVID-19, thus mitigating its pathogenic reactions/activities. This study reported the in silico inhibitory activity of phytochemicals against four pathogenic proteins of Coronavirus-2. However, in vitro and in vivo studies are important to potentiate these findings. Other drug techniques or models are vital to elucidate their compatibility and usage of the phytochemicals as adjuvants in vaccine development against the highly contagious COVID-19 infection.

Author contribution

Johnson Olaleye Oladele: Investigation, data curation; methodology; resources; writing—original draft. Taiwo Scholes Adewole: Investigation, data curation; methodology; resources; writing—original draft. Gbenga Emmanuel Ogundepo: Methodology, data curation, investigation. Oyedotun Moses Oyeleke: Data curation; investigation; methodology. Adenike Kuku: Conceptualization; supervision; project administration; resources; writing—review and editing.

Data availability

Data will be available upon request.

Declarations

Ethics approval

Not applicable.

Consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interest

The authors declare no competing interests.

Footnotes

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Data Availability Statement

Data will be available upon request.


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