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eF-seek: prediction of the functional sites of proteins by searching for similar electrostatic potential and molecular surface shape

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,...

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Detalles Bibliográficos
Autores principales: Kinoshita, Kengo, Murakami, Yoichi, Nakamura, Haruki
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1933152/
https://www.ncbi.nlm.nih.gov/pubmed/17567616
http://dx.doi.org/10.1093/nar/gkm351
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author Kinoshita, Kengo
Murakami, Yoichi
Nakamura, Haruki
author_facet Kinoshita, Kengo
Murakami, Yoichi
Nakamura, Haruki
author_sort Kinoshita, Kengo
collection PubMed
description 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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spelling pubmed-19331522007-07-31 eF-seek: prediction of the functional sites of proteins by searching for similar electrostatic potential and molecular surface shape Kinoshita, Kengo Murakami, Yoichi Nakamura, Haruki Nucleic Acids Res Articles 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). Oxford University Press 2007-07 2007-06-12 /pmc/articles/PMC1933152/ /pubmed/17567616 http://dx.doi.org/10.1093/nar/gkm351 Text en © 2007 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Kinoshita, Kengo
Murakami, Yoichi
Nakamura, Haruki
eF-seek: prediction of the functional sites of proteins by searching for similar electrostatic potential and molecular surface shape
title eF-seek: prediction of the functional sites of proteins by searching for similar electrostatic potential and molecular surface shape
title_full eF-seek: prediction of the functional sites of proteins by searching for similar electrostatic potential and molecular surface shape
title_fullStr eF-seek: prediction of the functional sites of proteins by searching for similar electrostatic potential and molecular surface shape
title_full_unstemmed eF-seek: prediction of the functional sites of proteins by searching for similar electrostatic potential and molecular surface shape
title_short eF-seek: prediction of the functional sites of proteins by searching for similar electrostatic potential and molecular surface shape
title_sort ef-seek: prediction of the functional sites of proteins by searching for similar electrostatic potential and molecular surface shape
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1933152/
https://www.ncbi.nlm.nih.gov/pubmed/17567616
http://dx.doi.org/10.1093/nar/gkm351
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AT nakamuraharuki efseekpredictionofthefunctionalsitesofproteinsbysearchingforsimilarelectrostaticpotentialandmolecularsurfaceshape