Rosetta

Step 1: Obtain the amino acid sequence of the viral protein.

Step 2: Prepare the input files for Rosetta Abinitio, including the sequence and any available experimental data (e.g., NMR restraints).

Step 3: Run the Rosetta Abinitio protocol to generate a large number of possible protein structures.

Step 4: Cluster the generated structures based on their similarity.

Step 5: Select the lowest-energy structure from the most populated cluster as the predicted structure.

Step 6: Validate the predicted structure using experimental data and structural quality assessment tools.

Step 1: Identify a target enzyme and a desired reaction to be catalyzed.

Step 2: Obtain the structure of the enzyme or generate a homology model.

Step 3: Use RosettaDesign to optimize the amino acid sequence around the active site to enhance substrate binding and catalytic activity.

Step 4: Evaluate the designed enzyme using computational simulations.

Step 5: Express and purify the designed enzyme.

Step 6: Characterize the catalytic activity of the designed enzyme using biochemical assays.

Step 1: Identify the interacting proteins in the signaling pathway.

Step 2: Obtain the structures of the individual proteins or generate homology models.

Step 3: Use RosettaDock to predict the structure of the protein-protein complex.

Step 4: Refine the predicted complex structure using molecular dynamics simulations.

Step 5: Analyze the interactions between the proteins in the complex to identify key residues involved in binding.

Step 6: Validate the predicted complex structure using experimental data, such as mutagenesis studies.

Step 1: Obtain the structure of the protein target.

Step 2: Prepare the structure of the ligand.

Step 3: Use Rosetta Ligand Docking to predict the binding mode of the ligand to the protein.

Step 4: Score the predicted binding poses based on their binding affinity.

Step 5: Analyze the interactions between the ligand and the protein to identify key residues involved in binding.

Step 6: Validate the predicted binding mode using experimental data, such as binding assays.

Step 1: Obtain the structure of the antibody and the antigen.

Step 2: Use RosettaDesign to optimize the amino acid sequence of the antibody's variable regions to enhance binding affinity for the antigen.

Step 3: Evaluate the designed antibodies using computational simulations.

Step 4: Express and purify the designed antibodies.

Step 5: Characterize the binding affinity of the designed antibodies using biochemical assays.

Step 6: Test the efficacy of the designed antibodies in vivo.