| Literature DB >> 34150913 |
Nazim Uddin Emon1,2, Md Munsur Alam1, Irin Akter1, Saima Akhter1, Anjuman Ara Sneha1, Md Irtiza1, Marufa Afroj1, Arifa Munni1, Masruba Hossen Chowdhury1, Summiya Hossain1.
Abstract
BACKGROUND: COVID-19 has mutation capability, and there are no specific drug therapies that are available to fight or inhibit the proteins of this virus. The present study aims to investigate the binding affinity of the bioactive and synthetic compounds with the main protease (Mpro) enzymes and angiotensin-converting enzyme 2 (ACE 2) by computational approach. PASS prediction, pharmacokinetics, and toxicological properties prediction studies were performed through the Google PASS prediction and Swiss ADME/T website. Besides, molecular docking studies were accomplished by BIOVIA Discovery Studio 2020, UCSF Chimera, and PyRx autodock vina.Entities:
Keywords: Drug targets; Kaempferol; Molecular docking; SARS-CoV-2; Theaflavin
Year: 2021 PMID: 34150913 PMCID: PMC8204119 DOI: 10.1186/s43094-021-00275-7
Source DB: PubMed Journal: Futur J Pharm Sci ISSN: 2314-7245
Fig. 13D chemical structure of selected ligands (caffeine, theaflavin, achyranthine, betaine, catechin, kaempferol, limonene, sabinene, piperine, pinene, favipiravir, hydroxychloroquine)
Fig. 23D structure of the pure receptors (5REB, 6VW1, 1R42, 7BQY, and 6Y2F) of SAR-CoV-2
Pass prediction of caesalpinine A, diffutidin, favipiravir, hydroxychloroquine antiviral activity
| Chemical constituents | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Antiviral activity | Caffeine | Theaflavin | Achyranthine | Betaine | Catechin | Kaempferol | Limonene | Sabinene | Piperine | Pinene | Favipiravir | Hydroxychloroquine |
| Pa | 0.513 | 0.609 | 0.590 | 0.525 | 0.520 | 0.496 | 0.574 | 0.282 | 0.221 | 0.346 | 0.662 | 0.323 |
| Pi | 0.045 | 0.012 | 0.021 | 0.040 | 0.018 | 0.005 | 0.009 | 0.105 | 0.167 | 0.066 | 0.008 | 0.207 |
Pa probability of activity, Pi probability of inactivity
Docking score of the selected dietary bioactive and synthetic compounds
| Compounds | Docking score | ||||
|---|---|---|---|---|---|
| 5REB | 6VW1 | 1R42 | 7BQY | 6Y2F | |
| Caffeine | −5.1 | −4.8 | −5.7 | - | −5.0 |
| Theaflavin | − | − | − | −6.7 | −6.4 |
| Achyranthine | −4.4 | −4.1 | −4.0 | −4.2 | −4.7 |
| Betaine | −3.5 | −3.2 | −3.2 | −3.4 | −3.5 |
| Catechin | - | −6.7 | −6.9 | −7.0 | −6.5 |
| Kaempferol | −6.2 | −7.0 | −6.8 | − | − |
| Limonene | −4.6 | −4.8 | −4.7 | −4.4 | −5.2 |
| Sabinene | −4.5 | −4.5 | −4.8 | −4.1 | −4.7 |
| Piperine | - | −6.8 | −7.0 | −6.5 | −7.1 |
| Pinene | - | −4.5 | −4.5 | −4.4 | −4.6 |
| Favipiravir | −5.4 | −4.7 | −5.2 | −5.5 | −5.3 |
| Hydroxychloroquine | −5.4 | −5.6 | −5.8 | −5.7 | −6.0 |
Fig. 3The presentation of the best binding interactions of the selected bioactive dietary components and synthetic compounds with the five SARS-CoV-2 proteins (main protease and angiotensin-converting enzyme 2 receptors)
Absorption, distribution, metabolism, excretion, and toxicological properties of the selected compounds
| Compounds | Molecular Weight (M.W) (g/mol) | HBD | HBA | log P (o/w) | HIA | Carcinogenicity (binary) | Violation score |
|---|---|---|---|---|---|---|---|
| Caffeine | 194.19 | 0 | 6 | −1.03 | 0.9824 | 0.9429 | 0 |
| Theaflavin | 564.50 | 12 | 9 | 2.21 | 0.9836 | 0.9571 | 3 |
| Achyranthine | 129.16 | 1 | 2 | 0.02 | 0.9021 | 0.9571 | 0 |
| Betaine | 117.15 | 0 | 2 | −1.56 | 0.9333 | 0.7316 | 0 |
| Catechin | 290.27 | 5 | 6 | 1.55 | 0.9887 | 0.9286 | 0 |
| Kaempferol | 286.24 | 4 | 6 | 2.28 | 0.9881 | 0.6985 | 0 |
| Limonene | 136.24 | 0 | 0 | 3.31 | 0.9692 | 0.5856 | 0 |
| Sabinene | 136.24 | 0 | 0 | 3.00 | 0.9828 | 0.7286 | 0 |
| Piperine | 285.34 | 0 | 3 | 3.00 | 0.9639 | 0.9198 | 0 |
| Pinene | 136.24 | 0 | 0 | 3.14 | 0.9677 | 0.7286 | 0 |
| Favipiravir | 157.10 | 2 | 3 | −0.99 | 0.9612 | 0.9286 | 0 |
| Hydroxychloroquine | 335.88 | 2 | 4 | 3.78 | 0.9934 | 0.8429 | 0 |
HBD hydrogen bond donor, HBA hydrogen bond acceptor, LogP lipophilicity, HIA human intestinal absorption