Your browser doesn't support javascript.
Marine algal antagonists targeting 3CL protease and spike glycoprotein of SARS-CoV-2: a computational approach for anti-COVID-19 drug discovery.
Arunkumar, Malaisamy; Gunaseelan, Sathaiah; Kubendran Aravind, Manikka; Mohankumar, Verma; Anupam, Patra; Harikrishnan, Muniyasamy; Siva, Ayyanar; Ashokkumar, Balasubramaniem; Varalakshmi, Perumal.
  • Arunkumar M; Department of Genetic Engineering, School of Biotechnology, Madurai Kamaraj University, Madurai, Tamil Nadu, India.
  • Gunaseelan S; International Centre for Genetic Engineering and Biotechnology (ICGEB), Transcription Regulation Group, New Delhi, India.
  • Kubendran Aravind M; Department of Molecular Microbiology, School of Biotechnology, Madurai Kamaraj University, Madurai, Tamil Nadu, India.
  • Mohankumar V; Department of Genetic Engineering, School of Biotechnology, Madurai Kamaraj University, Madurai, Tamil Nadu, India.
  • Anupam P; Department of Molecular Microbiology, School of Biotechnology, Madurai Kamaraj University, Madurai, Tamil Nadu, India.
  • Harikrishnan M; International Centre for Genetic Engineering and Biotechnology (ICGEB), Transcription Regulation Group, New Delhi, India.
  • Siva A; Supramolecular and Organometallic Chemistry Lab, Department of Inorganic Chemistry, School of Chemistry, Madurai Kamaraj University, Madurai, Tamil Nadu, India.
  • Ashokkumar B; Supramolecular and Organometallic Chemistry Lab, Department of Inorganic Chemistry, School of Chemistry, Madurai Kamaraj University, Madurai, Tamil Nadu, India.
  • Varalakshmi P; Department of Genetic Engineering, School of Biotechnology, Madurai Kamaraj University, Madurai, Tamil Nadu, India.
J Biomol Struct Dyn ; : 1-28, 2021 May 20.
Article in English | MEDLINE | ID: covidwho-1236146
ABSTRACT
The COVID-19 pandemic has severely destructed human life worldwide, with no suitable treatment until now. SARS-CoV-2 virus is unprecedented, resistance against number of therapeutics and spreading rapidly with high mortality, which warrants the need to discover new effective drugs to combat this situation. This current study is undertaken to explore the antiviral potential of marine algal compounds to inhibit the viral entry and its multiplication using computational analysis. Among the proven drug discovery targets of SARS-CoV-2, spike glycoprotein and 3-chymotrypsin-like protease are responsible for the virus attachment and viral genome replication in the host cell. In this study, the above-mentioned drug targets were docked with marine algal compounds (sulfated polysaccharides, polysaccharide derivatives and polyphenols) using molecular docking tools (AutoDockTools). The obtained results indicate that κ-carrageenan, laminarin, eckol, trifucol and ß-D-galactose are the top-ranking compounds showing better docking scores with SARS-CoV-2 targets, than the current experimental COVID-19 antiviral drugs like dexamethasone, remdesivir, favipiravir and MIV-150. Further, molecular dynamic simulation, ADMET and density functional theory calculations were evaluated to substantiate the findings. To the best of our knowledge, this is the first report on in silico analysis of aforesaid algal metabolites against SARS-CoV-2 targets. This study concludes that these metabolites can be curative for COVID-19 in the hour of need after further validations in in vitro and in vivo testings.Communicated by Ramaswamy H. Sarma.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Language: English Journal: J Biomol Struct Dyn Year: 2021 Document Type: Article Affiliation country: 07391102.2021.1921032

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Language: English Journal: J Biomol Struct Dyn Year: 2021 Document Type: Article Affiliation country: 07391102.2021.1921032