Your browser doesn't support javascript.
Structure Based Drug Designing Approaches in SARS-CoV-2 Spike Inhibitor Design.
Shanmugam, Anusuya; Venkattappan, Anbazhagan; Gromiha, M Michael.
  • Shanmugam A; Department of Pharmaceutical Engineering, Vinayaka Mission's KirupanandaVariyar Engineering College, Vinayaka Mission's Research Foundation (Deemed to be University), Salem - 636308, Tamil Nadu, India.
  • Venkattappan A; Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai 600036, Tamil Nadu, India.
  • Gromiha MM; Department of Chemistry, Vinayaka Mission's KirupanandaVariyar Arts and Science College, Vinayaka Mission's Research Foundation (Deemed to be University), Salem - 636308, Tamil Nadu, India.
Curr Top Med Chem ; 2022 Nov 03.
Article in English | MEDLINE | ID: covidwho-2109532
ABSTRACT
The COVID-19 outbreak and the pandemic situation have hastened the research community to design a novel drug and vaccine against its causative organism, the SARS-CoV-2. The spike glycoprotein present on the surface of this pathogenic organism plays an immense role in viral entry and antigenicity. Hence, it is considered an important drug target in COVID-19 drug design. Several three-dimensional crystal structures of this SARS-CoV-2 spike protein have been identified and deposited in the Protein DataBank during the pandemic period. This accelerated the research in computer-aided drug designing, especially in the field of structure-based drug designing. This review summarizes various structure-based drug design approaches applied to this SARS-CoV-2 spike protein and its findings. Specifically, it is focused on different structure-based approaches such as molecular docking, high-throughput virtual screening, molecular dynamics simulation, drug repurposing, and target-based pharmacophore modelling and screening. These structural approaches have been applied to different ligands and datasets such as FDA-approved drugs, small molecular chemical compounds, chemical libraries, chemical databases, structural analogs, and natural compounds, which resulted in the prediction of spike inhibitors, spike-ACE-2 interface inhibitors, and allosteric inhibitors.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Topics: Vaccines Language: English Journal subject: Chemistry Year: 2022 Document Type: Article Affiliation country: 1568026623666221103091658

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Topics: Vaccines Language: English Journal subject: Chemistry Year: 2022 Document Type: Article Affiliation country: 1568026623666221103091658