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Current Drug Targets

Editor-in-Chief

ISSN (Print): 1389-4501
ISSN (Online): 1873-5592

Review Article

Trends of Artificial Intelligence (AI) Use in Drug Targets, Discovery and Development: Current Status and Future Perspectives

In Press, (this is not the final "Version of Record"). Available online 29 October, 2024
Author(s): Manmayee Mohapatra, Chittaranjan Sahu* and Snehamayee Mohapatra
Published on: 29 October, 2024

DOI: 10.2174/0113894501322734241008163304

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Abstract

The applications of artificial intelligence (AI) in pharmaceutical sectors have advanced drug discovery and development methods. AI has been applied in virtual drug design, molecule synthesis, advanced research, various screening methods, and decision-making processes. In the fourth industrial revolution, when medical discoveries are happening swiftly, AI technology is essential to reduce the costs, effort, and time in the pharmaceutical industry. Further, it will aid “genome-based medicine” and “drug discovery.” AI may prepare proactive databases according to diseases, disorders, and appropriate usage of drugs which will facilitate the required data for the process of drug development. The application of AI has improved clinical trials on patient selection in a population, stratification, and sample assessment such as biomarkers, effectiveness measures, dosage selection, and trial length. Various studies suggest AI could be perform better compared to conventional techniques in drug discovery. The present review focused on the positive impact of AI in drug discovery and development processes in the pharmaceutical industry and beneficial usage in health sectors as well.

Keywords: Artificial intelligence, targets, drug development, precision medicine, drug discovery, data-driven, machine learning.


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