

Author: Parca Luca Gherardini Pier Federico Helmer-Citterich Manuela Ausiello Gabriele
Publisher: Oxford University Press
ISSN: 1362-4962
Source: Nucleic Acids Research, Vol.39, Iss.4, 2011-03, pp. : 1231-1242
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
Nearly half of known protein structures interact with phosphate-containing ligands, such as nucleotides and other cofactors. Many methods have been developed for the identification of metal ions-binding sites and some for bigger ligands such as carbohydrates, but none is yet available for the prediction of phosphate-binding sites. Here we describe Pfinder, a method that predicts binding sites for phosphate groups, both in the form of ions or as parts of other non-peptide ligands, in proteins of known structure. Pfinder uses the Query3D local structural comparison algorithm to scan a protein structure for the presence of a number of structural motifs identified for their ability to bind the phosphate chemical group. Pfinder has been tested on a data set of 52 proteins for which both the apo and holo forms were available. We obtained at least one correct prediction in 63 of the holo structures and in 62 of the apo. The ability of Pfinder to recognize a phosphate-binding site in unbound protein structures makes it an ideal tool for functional annotation and for complementing docking and drug design methods. The Pfinder program is available at
Related content




By Harada S. Karino A. Shimoyama Y. Shamsa F. Ohtsuki K.
Biochemical and Biophysical Research Communications, Vol. 227, Iss. 1, 1996-10 ,pp. :


By Mulloy Barbara Forster M. J.
Molecular Simulation, Vol. 34, Iss. 4, 2008-04 ,pp. :




By Ochoa W.F. Corbala´n-Garcia S. Eritja R. Rodrı´guez-Alfaro J.A. Go´mez-Ferna´ndez J.C. Fita I. Verdaguer N.
Journal of Molecular Biology, Vol. 320, Iss. 2, 2002-07 ,pp. :