Role of Artificial Intelligence and Machine Learning in Bioinformatics: Drug Discovery and Drug Repurposing

Author:

Quazi SameerORCID

Abstract

Artificial intelligence AI or machine learning has proven to be a potential activity in the health and biomedical sciences. Previous research it has found that AI can learn new data and transform it into the useful knowledge. In the field of pharmacology, the aim is to design more efficient and novel vaccines using this method which are also cost effective. The underlying fact is to predict the molecular mechanism and structure for increased likelihood of developing new drugs. Clinical, electronic and high resolution imaging datasets can be used as inputs to aid the drug development niche. Moreover, the use of comprehensive target activity has been performed for repurposing a drug molecule by extending target profiles of drugs which also include off targets with therapeutic potential providing a new indication.

Publisher

MDPI AG

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Role of Artificial Intelligence in Healthcare Management;Reinventing Technological Innovations with Artificial Intelligence;2023-09-19

2. The emergent role of artificial intelligence, natural learning processing, and large language models in higher education and research;Research in Social and Administrative Pharmacy;2023-08

3. The Discovery of Novel Antimicrobial Agents through the Application of Isocyanide-Based Multicomponent Reactions;Antibiotics;2023-05-04

4. Introduction to Bioinformatics, AI, and ML for Pharmaceuticals;Bioinformatics Tools for Pharmaceutical Drug Product Development;2023-02-07

5. Drug Discovery Analysis Using Machine Learning Bioinformatics;Proceedings of Data Analytics and Management;2023

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