Structure-based approaches against COVID-19

J Chin Med Assoc. 2024 Feb 1;87(2):139-141. doi: 10.1097/JCMA.0000000000001043. Epub 2023 Dec 20.

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has had a major impact on human life. This review highlights the versatile roles of both classical and modern structure-based approaches for COVID-19. X-ray crystallography, nuclear magnetic resonance spectroscopy, and cryogenic electron microscopy are the three cornerstones of classical structural biology. These technologies have helped provide fundamental and detailed knowledge regarding severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the related human host proteins as well as enabled the identification of its target sites, facilitating the cessation of its transmission. Further progress into protein structure modeling was made using modern structure-based approaches derived from homology modeling and integrated with artificial intelligence (AI), facilitating advanced computational simulation tools to actively guide the design of new vaccines and the development of anti-SARS-CoV-2 drugs. This review presents the practical contributions and future directions of structure-based approaches for COVID-19.

Publication types

  • Review

MeSH terms

  • Artificial Intelligence
  • COVID-19 Vaccines
  • COVID-19*
  • Computer Simulation
  • Humans
  • SARS-CoV-2

Substances

  • COVID-19 Vaccines