Computational Drug Design and Chemistry – Training Services

Computational Drug Design and Chemistry – Training Services provides participants with an in-depth understanding of how computational methods are applied to modern drug discovery and chemical research. The training covers molecular modeling, virtual screening, QSAR, docking studies, and pharmacophore modeling. Participants will learn how to use computational tools to predict drug–target interactions, optimize lead compounds, and evaluate ADMET properties. The course emphasizes integration of computational chemistry with experimental data for rational drug design. Case studies highlight applications in pharmaceuticals, biotechnology, and chemical biology. By the end of the program, learners will be proficient in applying computational strategies to accelerate drug discovery and chemical innovation.