WATGEN: An algorithm for modeling water networks at protein–protein interfaces

✍ Scribed by Huynh-Hoa Bui; Alexandra J. Schiewe; Ian S. Haworth

• Publisher: John Wiley and Sons
• Year: 2007
• Tongue: English
• Weight: 474 KB
• Volume: 28
• Category: Article
• ISSN: 0192-8651
• DOI: 10.1002/jcc.20751

✦ Synopsis

Abstract

Water molecules at protein–protein interfaces contribute to the close packing of atoms and ensure complementarity between the protein surfaces, as well as mediating polar interactions. Therefore, modeling of interface water is of importance in understanding the structural basis of biomolecular association. We present an algorithm, WATGEN, which predicts locations for water molecules at a protein–protein or protein–peptide interface, given the atomic coordinates of the protein and peptide. A key element of the WATGEN algorithm is the prediction of water sites that can form multiple hydrogen bonds that bridge the binding interface. Trial calculations were performed on water networks predicted by WATGEN at 126 protein–peptide interfaces (X‐ray resolutions ≤ 2.0 Å), using different criteria for water placement. The energies of the predicted water networks were evaluated in AMBER8 and used in the choice of parameters for WATGEN. The 126 interfaces include 1264 experimentally determined bridging water sites, and the WATGEN algorithm predicts 72 and 88% of these sites within 1.5 and 2.0 Å, respectively. The predicted number of water molecules at each interface was much higher than the number of water molecules identified experimentally. Therefore, random placement of the same number of water molecules as that predicted at each interface was performed as a control, and resulted in only 22 and 40% of water sites placed within 1.5 and 2.0 Å of experimental sites, respectively. Based on these data, we conclude that WATGEN can accurately predict the location of water molecules at a protein–peptide interface, and this may be of value for understanding the energetics and specificity of biomolecular association. © 2007 Wiley Periodicals, Inc. J Comput Chem, 2007