Computational Drug Discovery: A Practical Research Approach (duration 6 months)

This intensive 6-month research-oriented program provides an end-to-end framework for computer-aided drug design (CADD) and AI-integrated discovery. In an era where "in silico" exploration is mandatory, this course teaches you how to leverage Machine Learning (ML) and Deep Learning to navigate the vast chemical space. You will transition from foundational molecular modeling to advanced Generative AI techniques for de novo molecule design. Through a hands-on research project, you will apply molecular docking, QSAR modeling, and ADMET prediction to real-world disease targets. By the end of the program, you will be proficient in using industry-standard tools to identify "hits," optimize "leads," and predict clinical success, making you an asset to the global biopharmaceutical industry.