Master Introduction to Computational Drug Discovery in 4 weeks through hands-on, project-based online training with DSTC.
Drug Discovery & Pharmaceutical Sciences
Module-by-module breakdown of Introduction to Computational Drug Discovery, from foundations to a certified capstone project.
Outline
What is Computational Drug Discovery? โข Role of Computational Approaches in Modern Drug Development โข Applications in Pharmaceutical and Biomedical Research โข Overview of the Drug Discovery Process (Target Identification to Clinical Trials)
Outline
Introduction to Drug Targets (Proteins, Enzymes, Receptors) โข Bioinformatics Tools for Target Identification โข Databases for Drug Discovery (e.g., Protein Data Bank, DrugBank) โข Basic Concepts of Protein-Ligand Interactions
Outline
What is Virtual Screening? โข Introduction to Molecular Docking Simulations โข Screening Chemical Libraries for Potential Drug Candidates โข Docking Algorithms and Scoring Functions
Outline
Hit Identification and Lead Optimization โข Structure-Based Drug Design (SBDD) vs Ligand-Based Drug Design (LBDD) โข Computational Methods in Drug Optimization โข Case Studies of Drug Design in Practice
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Emerging Trends in Computational Drug Discovery โข Artificial Intelligence and Machine Learning in Drug Design โข Career Opportunities in Computational Biology, Drug Discovery, and Bioinformatics โข Mini Learning Activity / Concept-Based Practice
e-Certificate and e-Marksheet issued on successful completion.