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

Author:

Lv Hao1,Shi Lei2,Berkenpas Joshua William3,Dao Fu-Ying1,Zulfiqar Hasan1,Ding Hui1,Zhang Yang4,Yang Liming5,Cao Renzhi3ORCID

Affiliation:

1. Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China

2. Department of Spine Surgery, Changzheng Hospital, Naval Medical University, Shanghai 200433, China

3. Department of Computer Science, Pacific Lutheran University, Tacoma 98447, USA

4. Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China

5. Department of Pathophysiology, Harbin Medical University-Daqing, Daqing, 163319, China

Abstract

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.

Funder

Natural Sciences Undergraduate Research Program at Pacific Lutheran University

Publisher

Oxford University Press (OUP)

Subject

Molecular Biology,Information Systems

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