Day 1.
Predicting the 3D structure of a protein (AlphaFold2) and Molecular Docking
Morning Session:
Lecture:
Introduction to predicting the 3D structure of a protein – AlphaFold2 method.
Practical exercise 1:
Predicting the 3D structure of a protein by using AlphaFold2 method.
- Preparation for prediction – getting the amino acids sequence.
- Running Alphafold2.
- Comparing predicted structure with a known structure, using RMSD analysis.
- Short discussion about the results.
Lecture 2:
- Introduction to Molecular Docking.
- The significance of docking in drug discovery
- Docking algorithms and scoring functions.
Afternoon Session:
Practical exercise 2:
Molecular docking and result analysis.
- Obtaining structures of receptors and ligands.
- Preparation of protein and ligand structures.
- Generating possible ligand conformations and orientations relative to the protein.
- Evaluation of the ligand’s fit to the protein’s binding site using scoring functions.
- Ranking ligand conformations according to score values and selecting the best fitting ones, with the lowest protein-ligand interaction energy.
- Analysis of results: determining the orientation and binding position of the ligand as well as the amino acids relevant for protein-ligand interactions.
Day 1 milestones:
- Understanding the molecular docking method.
- Practical experience in conducting molecular docking of a protein-ligand complex.
- The ability to independently analyze molecular docking results.