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Computer Aided Drug Design Course

4.7/5
Computer Aided Drug Design Course
4.7 in rating
4 to 360 hours flexible workload
valid certificate in your country

What will I learn?

The Computer Aided Drug Design Course provides practical, step-by-step skills to gather 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 advantages

Develop skills

  • Curate public bioactivity data: clean, standardise and validate for modelling use.
  • Build simple QSAR models: compute descriptors, fit, validate and interpret output.
  • Prepare proteins and ligands: optimise structures, protonation and docking grids.
  • Design kinase analogues: apply SAR, docking and ADME rules to propose 3–5 hits.
  • Communicate CADD results: write concise, ethical reports for clinical colleagues.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to change platforms... I'm grateful for everything you do, I've already recommended you to other people...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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