A Review On Role Of Artificial Intelligence In Drug Discovery
Year: 2024
Type: article
Abstract: Artificial intelligence accelerates the drug discovery and development process and reduces the cost, with enormous amounts of successful applications from language modeling to improvement in the pharmaceutical sector. The deep-learning approach has been used throughout the drug discovery steps as the drug-related data increase. In this mini-review, I gave a general description of AI and its application in drug discovery and development. Computer-aided drug discovery and ligand-based quantitative structure activity and property (QSAR/ QSPR) and De Novo drug design, integration with single cell technology, drug metabolism, and excretion, and discuss recent advancement in colorectal cancer and tooth loss, integration of plant-based traditional medicine, and showing AI-assisted platform used to discover serotonin 5-HT1A drug, which is reaching the clinical trial in less than 12 months which is far less than conventional method that needs four years of drug discovery process.
Author: Rama Brahma Reddy D.*, Malleswari K., Chetan M., Adarsh Babu B., Bhuvan Chandra Durga Eswar J.
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6893084097
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