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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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Formato: | Texto |
Lenguaje: | English |
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Oxford University Press
2007
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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). |
format | Text |
id | pubmed-1933152 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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