A BREIF SURVEY ON DRUG DISCOVERY USING MACHINE LEARNING









Abstract

Drugs can only be effective if they bind to specific proteins in the body. In the drug discovery and screening process, determining stickiness is a crucial step. So, naturally the very first thing we need is the target protein which means we are going to select a protein whose drug discovery has to be done. And by using dataset from chembl database we get a bioactivity data and then curate it for our use, then we perform various machine learning operations to build a regression model. The model is then deployed as software where on entering target protein we can predict the drug use for the targeted protein.


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Algorithms


Software And Hardware