Structure-based approaches against COVID-19

Ta Chou Huang, Kung Hao Liang, Tai Jay Chang, Kai Feng Hung, Mong Lien Wang, Yen Fu Cheng, Yi Ting Liao, De Ming Yang*


研究成果: Review article同行評審

1 引文 斯高帕斯(Scopus)


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 (SARSCoV-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.

頁(從 - 到)139-141
期刊Journal of the Chinese Medical Association
出版狀態Published - 1 2月 2024


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