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Computer-Aided Drug Design (CADD) and Computational Drug Discovery Training Cohort 2

Computer-Aided Drug Design (CADD) applies computational techniques to accelerate the discovery, design and optimization of potential drug candidates. This hands-on training introduces participants to drug discovery principles, molecular docking, virtual screening, molecular modelling, molecular dynamics and ADMET prediction. Through practical sessions, participants will develop skills in using computational tools to analyse molecular properties, investigate protein–ligand interactions and evaluate potential bioactive compounds, applying these techniques to medicinal chemistry, natural products research and pharmaceutical drug development.

Programme details

What this covers

  • Develop hands-on experience in applying computational techniques to identify, screen and evaluate potential drug candidates.
  • Learn how to investigate protein–ligand interactions, predict binding poses and evaluate potential interactions between bioactive compounds and biological targets.
  • Acquire skills in molecular structure preparation, conformational analysis, molecular modelling and introduction to molecular dynamics simulations.
  • Learn to evaluate the absorption, distribution, metabolism, excretion and toxicity profiles of potential drug candidates using computational prediction platforms.
  • Explore how computational techniques can be applied to investigate medicinal plants, natural products and other bioactive compounds.
  • Build competencies that can support undergraduate and postgraduate research, academic projects, pharmaceutical research and careers in computational chemistry and drug discovery.
Who should apply

Undegraduates, Postgraduate, Researchers, Technicians

Dates18 Jan to 30 Jan 2027
Time20:00 - 22:00
Availability1 registered
Programme feeUGX 100,000
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