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Systemic In SilicoScreening in Drug Discovery for Coronavirus Disease (COVID-19) with an Online Interactive Web Server

Authors :
Xu, Chi
Ke, Zunhui
Liu, Chuandong
Wang, Zhihao
Liu, Denghui
Zhang, Lei
Wang, Jingning
He, Wenjun
Xu, Zhimeng
Li, Yanqing
Yang, Yanan
Huang, Zhaowei
Lv, Panjing
Wang, Xin
Han, Dali
Li, Yan
Qiao, Nan
Liu, Bing
Source :
Journal of Chemical Information and Modeling; December 2020, Vol. 60 Issue: 12 p5735-5745, 11p
Publication Year :
2020

Abstract

The emergence of the new coronavirus (nCoV-19) has impacted human health on a global scale, while the interaction between the virus and the host is the foundation of the disease. The viral genome codes a cluster of proteins, each with a unique function in the event of host invasion or viral development. Under the current adverse situation, we employ virtual screening tools in searching for drugs and natural products which have been already deposited in DrugBank in an attempt to accelerate the drug discovery process. This study provides an initial evaluation of current drug candidates from various reports using our systemic in silico drug screening based on structures of viral proteins and human ACE2 receptor. Additionally, we have built an interactive online platform (https://shennongproject.ai/) for browsing these results with the visual display of a small molecule docked on its potential target protein, without installing any specialized structural software. With continuous maintenance and incorporation of data from laboratory work, it may serve not only as the assessment tool for the new drug discovery but also an educational web site for the public.

Details

Language :
English
ISSN :
15499596 and 1549960X
Volume :
60
Issue :
12
Database :
Supplemental Index
Journal :
Journal of Chemical Information and Modeling
Publication Type :
Periodical
Accession number :
ejs54082466
Full Text :
https://doi.org/10.1021/acs.jcim.0c00821