| Literature DB >> 33239694 |
Hariprasad Puttaswamy1, Hittanahallikoppal Gajendramurthy Gowtham2, Monu Dinesh Ojha2, Ajay Yadav2, Gourav Choudhir2, Vasantharaja Raguraman2, Bhani Kongkham2, Koushalya Selvaraju2, Shazia Shareef2, Priyanka Gehlot2, Faiz Ahamed2, Leena Chauhan2.
Abstract
Plants are endowed with a large pool of structurally diverse small molecules known as secondary metabolites. The present study aims to virtually screen these plant secondary metabolites (PSM) for their possible anti-SARS-CoV-2 properties targeting four proteins/ enzymes which govern viral pathogenesis. Results of molecular docking with 4,704 ligands against four target proteins, and data analysis revealed a unique pattern of structurally similar PSM interacting with the target proteins. Among the top-ranked PSM which recorded lower binding energy (BE), > 50% were triterpenoids which interacted strongly with viral spike protein-receptor binding domain, > 32% molecules which showed better interaction with the active site of human transmembrane serine protease were belongs to flavonoids and their glycosides, > 16% of flavonol glycosides and > 16% anthocyanidins recorded lower BE against active site of viral main protease and > 13% flavonol glycoside strongly interacted with active site of viral RNA-dependent RNA polymerase. The primary concern about these PSM is their bioavailability. However, several PSM recorded higher bioavailability score and found fulfilling most of the drug-likeness characters as per Lipinski's rule (Coagulin K, Kamalachalcone C, Ginkgetin, Isoginkgetin, 3,3'-Biplumbagin, Chrysophanein, Aromoline, etc.). Natural occurrence, bio-transformation, bioavailability of selected PSM and their interaction with the target site of selected proteins were discussed in detail. Present study provides a platform for researchers to explore the possible use of selected PSM to prevent/ cure the COVID-19 by subjecting them for thorough in vitro and in vivo evaluation for the capabilities to interfering with the process of viral host cell recognition, entry and replication.Entities:
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Year: 2020 PMID: 33239694 PMCID: PMC7689506 DOI: 10.1038/s41598-020-77602-0
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Binding energy of top ranked plant secondary metabolites against four targets of SARS-CoV-2 pathogenesis and their physicochemical properties.
| Code | Name | BE | MW | RB | HA | HD | TPSA | MLogP | PGP | GI | LV | BAS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| B0162-10327320 | Bismahanine | − 9.1 | 692.8 | 7 | 4 | 4 | 90.50 | 6.18 | Yes | Low | 2 | 0.17 |
| C0572-100920596 | Coagulin N | − 9.1 | 648.7 | 4 | 12 | 6 | 192.44 | − 0.36 | Yes | Low | 3 | 0.17 |
| A0297-16162334 | Arecatannin A3 | − 8.9 | 1443.2 | 9 | 30 | 25 | 551.90 | − 3.21 | Yes | Low | 3 | 0.17 |
| C0563-15970528 | Coagulin K | − 8.9 | 616.7 | 4 | 10 | 4 | 151.98 | 1.16 | Yes | Low | 1 | 0.55 |
| G0134-16129878 | Tannic acid | − 8.9 | 1701.2 | 31 | 46 | 25 | 777.98 | − 4.24 | Yes | Low | 3 | 0.17 |
| K0070-101721039 | Kamalachalcone C | − 8.8 | 530.5 | 4 | 8 | 4 | 147.14 | 1.92 | No | Low | 1 | 0.55 |
| A0155-5281600 | Amentoflavone | − 8.7 | 538.4 | 3 | 10 | 6 | 181.80 | 0.25 | No | Low | 2 | 0.17 |
| P0479-16398499 | Pseudojervine | − 8.7 | 587.7 | 3 | 9 | 5 | 137.71 | 1.02 | Yes | High | 1 | 0.55 |
| F0096-643975 | Flavin adenine dinucleotide | − 8.6 | 785.5 | 13 | 20 | 9 | 382.55 | − 3.77 | Yes | Low | 3 | 0.11 |
| G0075-156783 | Graecunin E | − 8.6 | 1047.1 | 11 | 22 | 12 | 335.06 | − 3.68 | Yes | Low | 3 | 0.17 |
| E0189-3564542 | Eriodictyol-7-O-rutinoside | − 9.9 | 596.5 | 6 | 15 | 9 | 245.29 | − 3.24 | Yes | Low | 3 | 0.17 |
| N0007-442431 | Narirutin | − 9.7 | 580.5 | 6 | 14 | 8 | 225.06 | − 2.77 | Yes | Low | 3 | 0.17 |
| H0135-191266 | Hippomannin A | − 9.6 | 634.4 | 6 | 18 | 11 | 318.50 | − 2.90 | Yes | Low | 3 | 0.17 |
| I0135-5318569 | Isoginkgetin | − 9.5 | 566.5 | 5 | 10 | 14 | 159.80 | 0.63 | No | Low | 1 | 0.55 |
| K0010-5491813 | *Kaempferol | − 9.5 | 600.4 | 7 | 15 | 9 | 257.04 | − 2.30 | No | Low | 3 | 0.17 |
| M0284-44259428 | Myricetin 3-rutinoside | − 9.5 | 626.5 | 6 | 17 | 11 | 289.66 | − 4.35 | Yes | Low | 3 | 0.17 |
| R0047-441943 | Rotundioside B | − 9.5 | 1184.3 | 15 | 26 | 13 | 428.71 | − 3.89 | Yes | Low | 3 | 0.11 |
| T0047-73179 | Tellimagradin I | − 9.5 | 786.5 | 9 | 22 | 13 | 385.26 | − 3.08 | Yes | Low | 3 | 0.17 |
| A0245-5281599 | Agathisflavone | − 9.4 | 538.4 | 3 | 10 | 6 | 181.80 | 0.25 | No | Low | 2 | 0.17 |
| E0140-119058016 | Emblicanin A | − 9.4 | 782.5 | 6 | 22 | 12 | 374.26 | − 2.33 | Yes | Low | 3 | 0.11 |
| G0154-14982 | Glycyrrhizic acid | − 9.5 | 822.9 | 7 | 16 | 8 | 267.04 | 0.02 | Yes | Low | 3 | 0.11 |
| C0387-366355 | cis-Miyabenol C | − 9.4 | 680.7 | 6 | 9 | 7 | 160.07 | 3.43 | No | Low | 2 | 0.17 |
| P0126-124025 | Proanthocyanidin A2 | − 9.2 | 576.5 | 2 | 12 | 9 | 209.76 | 0.14 | No | Low | 3 | 0.17 |
| G0038-131752181 | Granatin B | − 9.1 | 952.6 | 3 | 27 | 14 | 450.25 | − 3.45 | Yes | Low | 3 | 0.17 |
| H0134-101601938 | Hippophaenin B | − 9.1 | 1104.7 | 7 | 31 | 19 | 542.17 | − 3.90 | Yes | Low | 3 | 0.11 |
| C0126-101710863 | 3-Caffeoyl-5-Feruloylquinic Acid | − 9 | 530.4 | 10 | 12 | 16 | 200.28 | − 0.15 | Yes | Low | 3 | 0.11 |
| B0138-183757 | 3,3′-Biplumbagin | − 8.9 | 374.3 | 1 | 6 | 2 | 108.74 | 0.62 | No | High | 0 | 0.55 |
| A0245-5281599 | Agathisflavone | − 8.9 | 538.4 | 3 | 10 | 6 | 181.80 | 0.25 | No | Low | 2 | 0.17 |
| A0156-362574 | Aromoline | − 8.9 | 594.7 | 2 | 8 | 2 | 83.86 | 3.37 | No | High | 1 | 0.55 |
| C0453-6324923 | Chrysophanein | − 8.9 | 416.3 | 3 | 9 | 5 | 153.75 | − 1.26 | Yes | Low | 0 | 0.55 |
| H0349-3663 | Hypericin | − 10.4 | 504.4 | 0 | 8 | 6 | 155.52 | 1.36 | No | Low | 2 | 0.17 |
| A0155-5281600 | Amentoflavone | − 9.7 | 538.4 | 3 | 10 | 6 | 181.80 | 0.25 | No | Low | 2 | 0.17 |
| T0163-44584734 | Terflavin B | − 9.7 | 784.5 | 8 | 22 | 13 | 385.24 | − 2.83 | Yes | Low | 3 | 0.17 |
| M0522-21593828 | Mudanpioside J | − 9.6 | 630.5 | 11 | 14 | 5 | 199.90 | − 0.04 | Yes | Low | 2 | 0.17 |
| Q0019-44259101 | Quercetin 3,5-digalactoside | − 9.6 | 626.5 | 7 | 17 | 11 | 289.66 | − 4.62 | No | Low | 3 | 0.17 |
| V0041-168165 | Vescalagin | − 9.6 | 934.6 | 0 | 26 | 16 | 455.18 | − 3.23 | Yes | Low | 3 | 0.17 |
| G0227-5271805 | Ginkgetin | − 9.5 | 566.5 | 5 | 10 | 4 | 159.80 | 0.63 | No | Low | 1 | 0.55 |
| I0135-5318569 | Isoginkgetin | − 9.5 | 566.5 | 5 | 10 | 14 | 159.80 | 0.63 | No | Low | 1 | 0.55 |
| C0163-44256718 | Cyanidin 3,5-diglucoside | − 9.4 | 611.5 | 7 | 16 | 11 | 272.59 | − 3.82 | No | Low | 3 | 0.17 |
| D0307-15922818 | *Delphinidin | − 9.4 | 611.5 | 8 | 14 | 9 | 239.97 | − 1.18 | No | Low | 3 | 0.17 |
Only top 10 ranked molecules against each target are represented here. Details of all the plants secondary metabolites studied are available in Supplementary Files 2 and 3.
BE, binding energy (Kcal/mol); MW, molecular weight (g/mol); RB, number of rotatable bonds; HA, number of H-bond acceptors; HD, Number of H-bond donors; TPSA, total polar surface area (Å2); MLogP, predicted octanol/water partition coefficient; PGP-S, pgp substrate; GI, GI tract crossing, LV, Number of Lipinski’s rule violation; BAS: bioavailability score.
*Kaempferol 3-O-(6′'-galloyl)-beta-D-glucopyranoside; *Delphinidin-3-O-(6-p-coumaroyl) glucoside.
Figure 1(a) Structural activity relationship: correlation of canonical SMILES structure similarity (data points are joined by colored lines) and binding energy (represented in different color shades of data point) of selected plant secondary metabolites (PSM) evaluated against SARS-CoV-2 spike protein using Data Warrior software. Structurally similar molecules are grouped in dotted lines and a representative molecule with low binding energy (kcal/mol) (values in parenthesis) is represented in box. More than 50% of the PSM among top 250 molecules studied belong to triterpenoids and their derivatives, with > 14% Sterol lactones. (b) Data analysis of selected PSM against SARS-CoV-2 spike protein. (A) Bioavailability radar chart representing lipophilicity (LIPO), Molecular weight (SIZE), Topological polar surface area (POLAR), Solubility (INSOLU), Flexibility (FLEX) and Saturation (INSATU) along with Bioavailability score (BAS) of selected molecules, (B) 3D visualization of protein–ligand interaction using PyMOL (selected amino acid residue of target site of protein are colored in cyan, and (C) 2D visualization of different types of interactions between ligand and target site of protein using Discovery Studio software (different types of interactions are represented in color codes).
Figure 2(a) Structural activity relationship: Correlation of canonical SMILES structure similarity (data points are joined by colored lines) and binding energy (represented in different color shades of data point) of selected plant secondary metabolites (PSM) evaluated against SARS-CoV-2 TMPRSS2 using Data Warrior software. Structurally similar molecules are grouped in dotted lines and a representative molecule with low binding energy (kcal/mol) (values in parenthesis) is represented in box. Among top ranked PSM studied, > 32% found belonging to Flavonoid glucoside and other major groups are ellagitannins and triterpenoids. (b) Data analysis of selected PSM against SARS-CoV-2 TMPRSS2. (A) Bioavailability radar chart representing lipophilicity (LIPO), Molecular weight (SIZE), Topological polar surface area (POLAR), Solubility (INSOLU), Flexibility (FLEX) and Saturation (INSATU) along with Bioavailability score (BAS) of selected molecules, (B) 3D visualization of protein–ligand interaction using PyMOL (selected amino acid residue of target site of protein are colored in cyan, and (C) 2D visualization of different types of interactions between ligand and target site of protein using Discovery Studio software (different types of interactions are represented in color codes).
Figure 3(a) Structural activity relationship: Correlation of canonical SMILES structure similarity (data points are joined by colored lines) and binding energy (represented in different color shades of data point) of selected plant secondary metabolites (PSM) evaluated against SARS-CoV-2 Mpro using Data Warrior software. Structurally similar molecules are grouped in dotted lines and a representative molecule with low binding energy (kcal/mol) (values in parenthesis) is represented in box. In this case, flavonol glycosides (> 16%) and Anthocyanidine (> 16%) are the largest group of PSM among the top ranked 250 PSM. (b) Data analysis of selected PSM against SARS-CoV-2 Mpro. (A) Bioavailability radar chart representing lipophilicity (LIPO), Molecular weight (SIZE), Topological polar surface area (POLAR), Solubility (INSOLU), Flexibility (FLEX) and Saturation (INSATU) along with Bioavailability score (BAS) of selected molecules, (B) 3D visualization of protein–ligand interaction using PyMOL (selected amino acid residue of target site of protein are colored in cyan, and (C) 2D visualization of different types of interactions between ligand and target site of protein using Discovery Studio software (different types of interactions are represented in color codes).
Figure 4(a) Structural activity relationship: Correlation of canonical SMILES structure similarity (data points are joined by colored lines) and binding energy (represented in different color shades of data point) of selected plant secondary metabolites (PSM) evaluated against SARS-CoV-2 RdRp using Data Warrior software. Structurally similar molecules are grouped in dotted lines and a representative molecule with low binding energy (kcal/mol) (values in parenthesis) is represented in box. Here, large number of falvonol glycoside (> 13%) followed by hydrolysable tannins, anthocyanins and triterpenes are the major group of PSM found interacting with target site of SARS-CoV-2 RdRp. (b) Data analysis of selected PSM against SARS-CoV-2 RdRp. (A) Bioavailability radar chart representing lipophilicity (LIPO), Molecular weight (SIZE), Topological polar surface area (POLAR), Solubility (INSOLU), Flexibility (FLEX) and Saturation (INSATU) along with Bioavailability score (BAS) of selected molecules, (B) 3D visualization of protein–ligand interaction using PyMOL (selected amino acid residue of target site of protein are colored in cyan, and (C) 2D visualization of different types of interactions between ligand and target site of protein using Discovery Studio software (different types of interactions are represented in color codes).