Computational approaches for predicting binding partners, interface residues, and binding affinity of protein–protein complexes

Abstract

Studying protein–protein interactions leads to a better understanding of the underlying principles of several biological pathways. Cost and labor-intensive experimental techniques suggest the need for computational methods to complement them. Several such state-of-the-art methods have been reported for analyzing diverse aspects such as predicting binding partners, interface residues, and binding affinity for protein–protein complexes with reliable performance. However, there are specific drawbacks for different methods that indicate the need for their improvement. This review highlights various available computational algorithms for analyzing diverse aspects of protein–protein interactions and endorses the necessity for developing new robust methods for gaining deep insights about protein–protein interactions.