Your browser doesn't support javascript.
In silico studies evidenced the role of structurally diverse plant secondary metabolites in reducing SARS-CoV-2 pathogenesis.
Puttaswamy, Hariprasad; Gowtham, Hittanahallikoppal Gajendramurthy; Ojha, Monu Dinesh; Yadav, Ajay; Choudhir, Gourav; Raguraman, Vasantharaja; Kongkham, Bhani; Selvaraju, Koushalya; Shareef, Shazia; Gehlot, Priyanka; Ahamed, Faiz; Chauhan, Leena.
  • Puttaswamy H; Centre for Rural Development and Technology, Indian Institute of Technology Delhi, New Delhi, Delhi, 110016, India. phari@iitd.ac.in.
  • Gowtham HG; Centre for Rural Development and Technology, Indian Institute of Technology Delhi, New Delhi, Delhi, 110016, India.
  • Ojha MD; Centre for Rural Development and Technology, Indian Institute of Technology Delhi, New Delhi, Delhi, 110016, India.
  • Yadav A; Centre for Rural Development and Technology, Indian Institute of Technology Delhi, New Delhi, Delhi, 110016, India.
  • Choudhir G; Centre for Rural Development and Technology, Indian Institute of Technology Delhi, New Delhi, Delhi, 110016, India.
  • Raguraman V; Centre for Rural Development and Technology, Indian Institute of Technology Delhi, New Delhi, Delhi, 110016, India.
  • Kongkham B; Centre for Rural Development and Technology, Indian Institute of Technology Delhi, New Delhi, Delhi, 110016, India.
  • Selvaraju K; Centre for Rural Development and Technology, Indian Institute of Technology Delhi, New Delhi, Delhi, 110016, India.
  • Shareef S; Centre for Rural Development and Technology, Indian Institute of Technology Delhi, New Delhi, Delhi, 110016, India.
  • Gehlot P; Centre for Rural Development and Technology, Indian Institute of Technology Delhi, New Delhi, Delhi, 110016, India.
  • Ahamed F; Centre for Rural Development and Technology, Indian Institute of Technology Delhi, New Delhi, Delhi, 110016, India.
  • Chauhan L; Centre for Rural Development and Technology, Indian Institute of Technology Delhi, New Delhi, Delhi, 110016, India.
Sci Rep ; 10(1): 20584, 2020 11 25.
Article in English | MEDLINE | ID: covidwho-947551
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.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Antiviral Agents / Plants / Computer Simulation / Plant Extracts / Secondary Metabolism / SARS-CoV-2 / COVID-19 Type of study: Experimental Studies / Prognostic study Topics: Traditional medicine Limits: Humans Language: English Journal: Sci Rep Year: 2020 Document Type: Article Affiliation country: S41598-020-77602-0

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Antiviral Agents / Plants / Computer Simulation / Plant Extracts / Secondary Metabolism / SARS-CoV-2 / COVID-19 Type of study: Experimental Studies / Prognostic study Topics: Traditional medicine Limits: Humans Language: English Journal: Sci Rep Year: 2020 Document Type: Article Affiliation country: S41598-020-77602-0