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Application of artificial intelligence and machine learning for COVID-19 drug discovery and vaccine design.

Authors :
Lv, Hao
Shi, Lei
Berkenpas, Joshua William
Dao, Fu-Ying
Zulfiqar, Hasan
Ding, Hui
Zhang, Yang
Yang, Liming
Cao, Renzhi
Source :
Briefings in Bioinformatics; Nov2021, Vol. 22 Issue 6, p1-10, 10p
Publication Year :
2021

Abstract

The global pandemic of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2, has led to a dramatic loss of human life worldwide. Despite many efforts, the development of effective drugs and vaccines for this novel virus will take considerable time. Artificial intelligence (AI) and machine learning (ML) offer promising solutions that could accelerate the discovery and optimization of new antivirals. Motivated by this, in this paper, we present an extensive survey on the application of AI and ML for combating COVID-19 based on the rapidly emerging literature. Particularly, we point out the challenges and future directions associated with state-of-the-art solutions to effectively control the COVID-19 pandemic. We hope that this review provides researchers with new insights into the ways AI and ML fight and have fought the COVID-19 outbreak. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14675463
Volume :
22
Issue :
6
Database :
Complementary Index
Journal :
Briefings in Bioinformatics
Publication Type :
Academic Journal
Accession number :
154512690
Full Text :
https://doi.org/10.1093/bib/bbab320