Computational Drug Design and QSAR – Training Services

Computational Drug Design and QSAR – Training Services introduces participants to modern computational tools and quantitative structure–activity relationship (QSAR) techniques used in drug discovery and development. The program covers molecular modeling, docking studies, pharmacophore modeling, and virtual screening methods to predict drug–target interactions. Learners will explore QSAR principles, statistical modeling, and machine learning approaches for analyzing chemical datasets. Emphasis is placed on software applications, data interpretation, and validation of predictive models in pharmaceutical research. Case studies demonstrate how computational strategies accelerate drug discovery and reduce experimental costs. By the end of the training, participants will be proficient in applying computational methods and QSAR techniques to design and evaluate potential drug candidates.