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This project is to produce a repository database system of drugs, drug features (properties), and drugtargets where data can be mined and analyzed. Drug targets are different proteins that drugs try to bind tostop the activities of the protein. Users can utilize the database to mine useful data to predict the specificchemical properties that will have the relative efficacy of a specific target and the coefficient for eachchemical property. This database system can be equipped with different data miningapproaches/algorithms such as linear, non-linear, and classification types of data modelling. The datamodels have enhanced with the Genetic Evolution (GE) algorithms. This paper discusses implementationwith the linear data models such as Multiple Linear Regression (MLR), Partial Least Square Regression(PLSR), and Support Vector Machine (SVM).

A Web Repository System for Data Mining in Drug Discovery