📚 Syllabus & Course Curriculum
Bioinformatics & Computational Biology
Module-by-module breakdown of Course on Network Pharmacology Using Bioinformatics Tools, from foundations to a certified capstone project.
Concept
• The polypharmacology premise and where the single-target model breaks
• Traditional medicine and multi-component formulations as the common use case
• What a network result can support and the causal claims it cannot
Targets
• SwissTargetPrediction, TCMSP and STITCH, and their differing evidence quality
• Predicted against experimentally validated interactions, kept clearly separate
• Oral bioavailability and drug-likeness filters and their arbitrary thresholds
Disease
• GeneCards, OMIM, DisGeNET and the literature bias baked into all of them
• Intersecting compound targets with disease genes and the size effects that follow
• Why a large intersection is often a popularity artefact, not a finding
Networks
• STRING for protein interactions and Cytoscape for construction and layout
• Degree, betweenness and the hub concept, plus the fragility of centrality ranking
• Module detection with MCODE and interpreting a cluster cautiously
Validation
• Enrichment analysis with the correct background and multiple testing correction
• Molecular docking of key pairs as a follow-up, not as proof
• Experimental validation and the reason network pharmacology papers are often criticised
Earn government-registered certification in Course on Network Pharmacology Using Bioinformatics Tools
e-Certificate and e-Marksheet issued on successful completion.
