Structure-based approaches against COVID-19

被引:1
|
作者
Huang, Ta-Chou [1 ,2 ]
Liang, Kung-Hao [1 ,3 ,4 ]
Chang, Tai-Jay [1 ,5 ,6 ]
Hung, Kai-Feng [1 ]
Wang, Mong-Lien [1 ,3 ]
Cheng, Yen-Fu [1 ]
Liao, Yi-Ting [1 ]
Yang, De-Ming [1 ,2 ,7 ]
机构
[1] Taipei Vet Gen Hosp, Dept Med Res, Taipei, Taiwan
[2] Natl Yang Ming Chiao Tung Univ, Inst Biophoton, Sch Biomed Sci & Engn, Taipei, Taiwan
[3] Natl Yang Ming Chiao Tung Univ, Inst Food Safety & Hlth Risk Assessment, Taipei, Taiwan
[4] Natl Yang Ming Chiao Tung Univ, Inst Biomed Informat, Sch Med, Taipei, Taiwan
[5] Taipei Vet Gen Hosp, Dept Med Res, Basic Res Div, Lab Genome Res, Taipei, Taiwan
[6] Natl Yang Ming Chiao Tung Univ, Sch Biomed Sci & Engn, Taipei, Taiwan
[7] Taipei Vet Gen Hosp, Dept Med Res, Microscopy Serv Lab, Basic Res Div, 201,Sect 2,Shi Pai Rd, Taipei 112, Taiwan
关键词
COVID-19; Molecular dynamics simulation; SARS-CoV-2; BIOLOGY;
D O I
10.1097/JCMA.0000000000001043
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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.
引用
收藏
页码:139 / 141
页数:3
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