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One-semester practical course in English aims at obtaining an overview and hands-on experience in using
computational methods for modern drug design. It is desirable that the attendees have previous knowledge of structure and function of biomolecules, general chemistry and use of computers for scientific work. Aimed at Master students of 1st or 2nd year (potentially 3rd year Bachelor students) and PhD students including medical faculties. The topics covered in the course: 1. Discovery of new biologically active compounds 2. Structure, dynamics and interactions in biomolecule-ligand complexes 3. Biologically active compounds, their properties and interactions 4. Docking, molecular mechanics and dynamics, scoring 5. Ligand-based drug design Last update: Šebková Nataša, RNDr., Ph.D. (16.04.2024)
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The topics are partially covered in the following books: Basic: Young, D.C. Computational Drug Design. Wiley, 2009. Krogsgaard-Larsen, P; Stromgaard, K; Madsen, U. Textbook of Drug Design and Discovery, 4th ed., CRC Press, 2010. Recommended: Young D.C. Computational Chemistry, a Practical Guide for Applying Techniques to Real World Problems. Wiley, 2001. Leach AR. Molecular Modelling - Principles and Applications (2 edition). Pearson Education, 2001. Alvarez, J. & Shoichet B. (Eds.). Virtual Screening in Drug Discovery. Taylor&Francis, 2005.
Last update: Šebková Nataša, RNDr., Ph.D. (16.04.2024)
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The exam is awarded with 4 credits. The PROJECT: A mini-project on a selected topic from Hands-on sessions is required for entering the exam. The EXAM entails questions on the topics covered in the lectures.
Last update: Šebková Nataša, RNDr., Ph.D. (16.04.2024)
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Lecture topics:
1. Molecular medicine, biomolecular targets, drug design and discovery (ML) 2. Structure and dynamics of biomolecular targets (proteins, nucleic acids) (VV) 3. Structural biology methods (X-ray crystallography, NMR, cryo-EM, AlphaFold) (VV) 4. Hands-on Session: PyMol visualization and design (ML) 5. Small-molecule drug properties (ML) 6. Structure-based drug design (virtual screening, docking, scoring) (ML) 7. Hands-on Session: Docking - AceDock ( ML) 8. Ligand-based drug design - chemiinformatics, QSAR, pharmacophore, ADMET, (ML) 9. Biological therapeutics (VV) 10. Pharmaceutical industry case study (ZH)
Last update: Šebková Nataša, RNDr., Ph.D. (16.04.2024)
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