Artificial Intelligence and Cancer Drug Development-Reference-Cited by-同舟云学术

Artificial Intelligence and Cancer Drug Development

Published:2022-02 Issue:1 Volume:17 Page:2-8
ISSN:1574-8928
Container-title:Recent Patents on Anti-Cancer Drug Discovery
language:en
Short-container-title:PRA

Author:

Yang Fan¹,Darsey Jerry A.²,Ghosh Anindya³,Li Hong-Yu⁴,Yang Mary Q.⁵,Wang Shanzhi³^ORCID

Affiliation:

1. Healthville Primary Care, Little Rock, AR 72211, USA

2. Department of Chemistry, University of Arkansas at Little Rock, AR 72204, USA | Center for Molecular Design and Development, University of Arkansas at Little Rock, AR 72204, USA

3. Department of Chemistry, University of Arkansas at Little Rock, AR 72204, USA

4. University of Arkansas for Medical Sciences, Little Rock, AR 72202, USA

5. Department of Information Science, University of Arkansas at Little Rock, AR 72204, USA

Abstract

Background: The development of cancer drugs is among the most focused “bench to bedside activities” to improve human health. Because of the amount of data publicly available to cancer research, drug development for cancers has significantly benefited from big data and Artificial Intelligence (AI). In the meantime, challenges, like curating the data of low quality, remain to be resolved. Objective: This review focused on the recent advancements in and challenges of AI in developing cancer drugs. Method: We discussed target validation, drug repositioning, de novo design, and compounds' synthetic strategies. Results and Conclusion: AI can be applied to all stages during drug development, and some excellent reviews detailing the applications of AI in specific stages are available.

Publisher

Bentham Science Publishers Ltd.

Subject

Pharmacology (medical),Cancer Research,Drug Discovery,Oncology,General Medicine

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