Prepare the proteins: Obtain 3D structures of both proteins (receptor and ligand). Clean the structures by removing water molecules, heteroatoms, and resolving any structural issues. Add hydrogen atoms and assign proper charges
Define the search space: Since this is blind docking, you'll need to consider the entire surface of the receptor protein. Create a grid box that encompasses the entire receptor or a large portion of it.
Set up flexibility parameters: Identify flexible residues in both the receptor and ligand proteins. This typically includes side chains of surface residues and loop regions.
Choose a docking software: Popular options include: AutoDock Vina, HADDOCK, or Rosetta. Each has its strengths for protein-protein docking and handling flexibility.
Perform the docking: Run multiple docking simulations to ensure adequate sampling of possible conformations. This process can be computationally intensive and may require a high-performance computing cluster.
Analyze results: Examine the generated poses and their associated scores Look for clusters of similar poses, which may indicate likely binding sites. Evaluate the biological relevance of the predicted interactions.
Refine and validate: Perform more focused docking on promising poses Use molecular dynamics simulations to further refine the structures. Compare results with experimental data if available.