Computer Aided Drug Design Course
Master computer-aided drug design for real-world medicine. Learn to mine bioactivity data, build QSAR models, run and validate docking, design kinase analogs, and communicate uncertainty so your in silico insights better guide clinical research decisions.

4 to 360 hours of flexible workload
valid certificate in your country
What Will I Learn?
The Computer Aided Drug Design Course gives you practical, step-by-step skills to collect and curate public bioactivity data, build simple QSAR models, and design and validate docking protocols. You will learn protein and ligand preparation, kinase-focused target selection, rational analog design with basic ADME filters, and clear, ethical reporting so your in silico proposals are realistic, transparent, and ready for experimental follow-up.
Elevify Differentials
Develop Skills
- Curate public bioactivity data: clean, standardize and validate for modeling use.
- Build simple QSAR models: compute descriptors, fit, validate and interpret output.
- Prepare proteins and ligands: optimize structures, protonation and docking grids.
- Design kinase analogs: apply SAR, docking and ADME rules to propose 3–5 hits.
- Communicate CADD results: write concise, ethical reports for clinical colleagues.
Suggested Summary
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