from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Cheminformatics Course equips you with practical skills to curate small QSAR datasets, standardise structures, sort out duplicates, and align activity units for solid analysis. You'll learn to fetch and sift through public bioactivity data, calculate and pick useful descriptors, develop and check sturdy models for limited data, understand feature importance, and outline targeted experimental follow-ups using fully repeatable workflows.
Elevify advantages
Develop skills
- Curate QSAR data: clean structures, align units, and build strong small sets.
- Retrieve bioactivity data: search ChEMBL, PubChem, and DrugBank with assurance.
- Compute molecular descriptors: create 2D fingerprints and key ADME properties quickly.
- Build and validate QSAR models: use CV, metrics, and feature selection properly.
- Interpret models chemically: link features to design concepts and prioritise new analogues.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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