Publication | Open Access
eF-seek: prediction of the functional sites of proteins by searching for similar electrostatic potential and molecular surface shape
65
Citations
15
References
2007
Year
Structural BioinformaticsBiomolecular Structure PredictionMolecular BiologyMolecular Surface ShapeLigand-binding SitesProtein FoldingProteomicsSearch MethodFunctional SitesBiophysicsBiochemistryInteractomicsMedicineProtein ModelingProtein Structure PredictionSimilar Electrostatic PotentialProtein BioinformaticsStructural BiologyNatural SciencesComputational BiologySystems BiologyMolecular DockingSimilar Binding Sites
We have developed a method to predict ligand-binding sites in a new protein structure by searching for similar binding sites in the Protein Data Bank (PDB). The similarities are measured according to the shapes of the molecular surfaces and their electrostatic potentials. A new web server, eF-seek, provides an interface to our search method. It simply requires a coordinate file in the PDB format, and generates a prediction result as a virtual complex structure, with the putative ligands in a PDB format file as the output. In addition, the predicted interacting interface is displayed to facilitate the examination of the virtual complex structure on our own applet viewer with the web browser (URL: http://eF-site.hgc.jp/eF-seek).
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