📚 Syllabus & Course Curriculum
Bioinformatics & Computational Biology
Module-by-module breakdown of Computational Drug Discovery & Intensive Genomics, from foundations to a certified capstone project.
Targets
• Genomic evidence for target selection, including human genetic support
• Expression, essentiality and dependency screens such as DepMap
• Tractability and the difference between a target and a druggable target
Variation
• Variant interpretation relevant to drug response and resistance
• Pharmacogenomic markers and their clinical implementation
• Population differences and their consequence for global development
Screening
• Library preparation, filtering and property-based triage
• Docking at scale and rescoring strategies
• Hit triage combining computational and experimental evidence
Integration
• Transcriptomic and proteomic signatures of mechanism
• Connectivity mapping and drug repurposing signals
• Biomarker hypotheses and their prospective testing
Practice
• Pipeline reproducibility across compute environments
• Documenting decisions so a programme can be audited later
• Communicating computational evidence to medicinal chemists and biologists
Earn government-registered certification in Computational Drug Discovery & Intensive Genomics
e-Certificate and e-Marksheet issued on successful completion.
