Computer Aided Drug Design Course
4.7/5
Gain expertise in computer-aided drug design for practical medical applications. Master mining bioactivity data, creating QSAR models, performing and validating docking studies, designing kinase analogues, and clearly reporting uncertainties to effectively inform clinical research choices.
4.7 in the evaluation
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course equips you with hands-on skills to gather and refine public bioactivity data, develop basic QSAR models, and set up reliable docking methods. You'll cover protein and ligand preparation, selecting kinase targets, designing analogues using SAR and ADME principles, plus ethical reporting to ensure your computational work is practical and ready for lab testing.
Elevify advantages
Develop skills
- Curate public bioactivity data: clean, standardise and validate for modelling.
- Build simple QSAR models: compute descriptors, fit, validate and interpret.
- Prepare proteins and ligands: optimise structures, protonation and docking grids.
- Design kinase analogues: apply SAR, docking and ADME rules for hits.
- Communicate CADD results: write clear, ethical reports for colleagues.
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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