当前位置: X-MOL 学术Curr. Topics Med. Chem. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Therapeutic targets and computational approaches on drug development for COVID-19.
Current Topics in Medicinal Chemistry ( IF 3.4 ) Pub Date : 2020-08-31 , DOI: 10.2174/1568026620666200710105507
Anusuya Shanmugam 1 , Nisha Muralidharan 2 , Devadasan Velmurugan 3 , M Michael Gromiha 2, 4
Affiliation  

World Health Organization declared coronavirus disease (COVID-19) caused by SARS coronavirus-2 (SARS-CoV-2) as pandemic. Its outbreak started in China in Dec 2019 and rapidly spread all over the world. SARS-CoV-2 has infected more than 800,000 people and caused about 35,000 deaths so far, moreover, no approved drugs are available to treat COVID-19. Several investigations have been carried out to identify potent drugs for COVID-19 based on drug repurposing, potential novel compounds from ligand libraries, natural products, short peptides, and RNAseq analysis. This review is focused on three different aspects; (i) targets for drug design (ii) computational methods to identify lead compounds and (iii) drugs for COVID-19. It also covers the latest literature on various hit molecules proposed by computational methods and experimental techniques.

更新日期:2020-11-02
down
wechat
bug