Software for Predicting Binding Free Energy of Protein–Protein Complexes and Their Mutants

Protein–protein binding affinity prediction is important for understanding complex biochemical pathways and to uncover protein interaction networks. Quantitative estimation of the binding affinity changes caused by mutations can provide critical information for protein function annotation and genetic disease diagnoses. The binding free energies of protein–protein complexes can be predicted using several computational tools. This chapter is a summary of software developed for the prediction of binding free energies for protein–protein complexes and their mutants.