title: Integrating computational methods and experimental data for understanding the recognition mechanism and binding affinity of protein-protein complexes.
abstract: Protein-protein interactions perform several functions inside the cell. Understanding the recognition mechanism and binding affinity of protein-protein complexes is a challenging problem in experimental and computational biology. In this review, we focus on two aspects (i) understanding the recognition mechanism and (ii) predicting the binding affinity. The first part deals with computational techniques for identifying the binding site residues and the contribution of important interactions for understanding the recognition mechanism of protein-protein complexes in comparison with experimental observations. The second part is devoted to the methods developed for discriminating high and low affinity complexes, and predicting the binding affinity of protein-protein complexes using three-dimensional structural information and just from the amino acid sequence. The overall view enhances our understanding of the integration of experimental data and computational methods, recognition mechanism of protein-protein complexes and the binding affinity.
authors.affiliation: Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai 600036, Tamilnadu, India. Electronic address: gromiha@iitm.ac.in.
authors.forename: M Michael
authors.initials: MM
authors.lastname: Gromiha
authors.affiliation: Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai 600036, Tamilnadu, India.
authors.forename: K
authors.initials: K
authors.lastname: Yugandhar
mesh_terms: D001665:Binding Sites; D019295:Computational Biology / Q000379:methods*; D006801:Humans; D011485:Protein Binding; D011506:Proteins / Q000737:chemistry / Q000378:metabolism*
chemical_list: D011506:Proteins
keywords: Binding affinity; Binding sites; Non-covalent interactions; Protein-protein complex; Recognition mechanism