A Review On Role Of Artificial Intelligence In Drug Discovery

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.