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Home > Archives > Volume 20, No 11 (2022) > Article

DOI: 10.14704/nq.2022.20.11.NQ66189

ROLE OF ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY TO DESIGN AND DEVELOP A DRUG: A REVIEW

N. Gayathri

Abstract

The term "artificial intelligence" (AI) refers to a set of technologies that have come together to mimic the four main aspects of human intelligence: perception, cognition, action, and learning. The process of developing new medicines is complex and time-consuming, but AI is making it simpler and less expensive. Machine learning (ML) is used to extract insights from large amounts of diverse data to create decision-supporting predictive models in the pharmaceutical industry. AI is being used to model disease heterogeneity, identify therapeutic targets, design and optimize drugcandidates, and predict in silico their clinical efficacy. Thus, by bolstering the justification for the selection of target and therapeutic candidates, the drug development process will be able to proceed more quickly and with fewer setbacks. Medication target recognition evidence, sedative screening, image screening, and predictive demonstrating are just a few examples of how AI is being put to use in the biotech industry. Similarly, AI is being used to organize preliminary clinical data and analyse rational writing. Artificial intelligence (AI) has been explained in detail throughout this assignment, along with its various processes, procedures, applications, and usage in the biotechnology industry.

Keywords

Drug, Biotechnology, Artificial Intelligence

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