Systematic review on role of structure based drug design (SBDD) in the identification of anti-viral leads against SARS-Cov-2.

Coronavirus 2 Proteases RNA dependent RNA polymerase Spike (S) protein Structure based drug design

Journal

Current research in pharmacology and drug discovery
ISSN: 2590-2571
Titre abrégé: Curr Res Pharmacol Drug Discov
Pays: Netherlands
ID NLM: 9918300982506676

Informations de publication

Date de publication:
2021
Historique:
received: 08 02 2021
revised: 12 04 2021
accepted: 13 04 2021
entrez: 6 12 2021
pubmed: 7 12 2021
medline: 7 12 2021
Statut: ppublish

Résumé

The outbreak of existing public health distress is threatening the entire world with emergence and rapid spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The novel coronavirus disease 2019 (COVID-19) is mild in most people. However, in some elderly people with co-morbid conditions, it may progress to pneumonia, acute respiratory distress syndrome (ARDS) and multi organ dysfunction leading to death. COVID-19 has caused global panic in the healthcare sector and has become one of the biggest threats to the global economy. Drug discovery researchers are expected to contribute rapidly than ever before. The complete genome sequence of coronavirus had been reported barely a month after the identification of first patient. Potential drug targets to combat and treat the coronavirus infection have also been explored. The iterative structure-based drug design (SBDD) approach could significantly contribute towards the discovery of new drug like molecules for the treatment of COVID-19. The existing antivirals and experiences gained from SARS and MERS outbreaks may pave way for identification of potential drug molecules using the approach. SBDD has gained momentum as the essential tool for faster and costeffective lead discovery of antivirals in the past. The discovery of FDA approved human immunodeficiency virus type 1 (HIV-1) inhibitors represent the foremost success of SBDD. This systematic review provides an overview of the novel coronavirus, its pathology of replication, role of structure based drug design, available drug targets and recent advances in in-silico drug discovery for the prevention of COVID-19. SARSCoV- 2 main protease, RNA dependent RNA polymerase (RdRp) and spike (S) protein are the potential targets, which are currently explored for the drug development.

Identifiants

pubmed: 34870145
doi: 10.1016/j.crphar.2021.100026
pii: S2590-2571(21)00013-4
pmc: PMC8120892
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

100026

Informations de copyright

© 2021 The Author(s).

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. NGB, SR, GG and AS are thankful to Indian Institute of Technology ( Banaras Hindu University) Varanasi for providing teaching assistantships to them.

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Auteurs

Nilesh Gajanan Bajad (NG)

Department of Pharmaceutical Engineering & Technology, Indian Institute of Technology (Banaras Hindu University), Varanasi, 221005, India.

Swetha Rayala (S)

Department of Pharmaceutical Engineering & Technology, Indian Institute of Technology (Banaras Hindu University), Varanasi, 221005, India.

Gopichand Gutti (G)

Department of Pharmaceutical Engineering & Technology, Indian Institute of Technology (Banaras Hindu University), Varanasi, 221005, India.

Anjali Sharma (A)

Department of Pharmaceutical Engineering & Technology, Indian Institute of Technology (Banaras Hindu University), Varanasi, 221005, India.

Meenakshi Singh (M)

Department of Medicinal Chemistry, Faculty of Ayurveda, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005, India.

Ashok Kumar (A)

Department of Pharmaceutical Engineering & Technology, Indian Institute of Technology (Banaras Hindu University), Varanasi, 221005, India.

Sushil Kumar Singh (SK)

Department of Pharmaceutical Engineering & Technology, Indian Institute of Technology (Banaras Hindu University), Varanasi, 221005, India.

Classifications MeSH