AI DRUG DISCOVERY SYSTEM: AI-BASED DRUG DISCOVERY AND ACTIVITY PREDICTION

Finding the drug compounds with certain biological activity is time consuming and expensive process in drug discovery. Traditional approaches mostly utilize labor intensive experimental methods requiring a long duration. An AI Based Drug Discovery and Activity prediction system has been designed using machine learning algorithms that aims to increase the speed at which drug candidates can be identified. It determines the biological activity by using
chemical compound data based on trained machine learning models. This includes different stages like data preprocessing, feature extraction, training the model and prediction. Using different algorithms like regression and classification model can find trends in molecular data
and determine whether the compounds will be effective. The implemented system can bring down the duration and cost involved in drug discovery, thereby achieving a more precise
prediction.