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PreBI: prediction of biological interfaces of proteins in crystals

PreBI is a server that predicts biological interfaces in protein crystal structures, according to the complementarity and the area of the interface. The server accepts a coordinate file in the PDB format, and all of the possible interfaces are generated automatically, according to the symmetry opera...

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Detalles Bibliográficos
Autores principales: Tsuchiya, Yuko, Kinoshita, Kengo, Ito, Nobutoshi, Nakamura, Haruki
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1538861/
https://www.ncbi.nlm.nih.gov/pubmed/16844993
http://dx.doi.org/10.1093/nar/gkl267
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author Tsuchiya, Yuko
Kinoshita, Kengo
Ito, Nobutoshi
Nakamura, Haruki
author_facet Tsuchiya, Yuko
Kinoshita, Kengo
Ito, Nobutoshi
Nakamura, Haruki
author_sort Tsuchiya, Yuko
collection PubMed
description PreBI is a server that predicts biological interfaces in protein crystal structures, according to the complementarity and the area of the interface. The server accepts a coordinate file in the PDB format, and all of the possible interfaces are generated automatically, according to the symmetry operations given in the coordinate file. For all of the interfaces generated, the complementarities of the electrostatic potential, hydrophobicity and shape of the interfaces are analyzed, and the most probable biological interface is identified according to the combination of the degree of complementarity derived from the database analyses and the area of the interface. The results can be checked through an interactive viewer, and the most probable complex can be downloaded as atomic coordinates in the PDB format. PreBI is available at .
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spelling pubmed-15388612006-08-18 PreBI: prediction of biological interfaces of proteins in crystals Tsuchiya, Yuko Kinoshita, Kengo Ito, Nobutoshi Nakamura, Haruki Nucleic Acids Res Article PreBI is a server that predicts biological interfaces in protein crystal structures, according to the complementarity and the area of the interface. The server accepts a coordinate file in the PDB format, and all of the possible interfaces are generated automatically, according to the symmetry operations given in the coordinate file. For all of the interfaces generated, the complementarities of the electrostatic potential, hydrophobicity and shape of the interfaces are analyzed, and the most probable biological interface is identified according to the combination of the degree of complementarity derived from the database analyses and the area of the interface. The results can be checked through an interactive viewer, and the most probable complex can be downloaded as atomic coordinates in the PDB format. PreBI is available at . Oxford University Press 2006-07-01 2006-07-14 /pmc/articles/PMC1538861/ /pubmed/16844993 http://dx.doi.org/10.1093/nar/gkl267 Text en © The Author 2006. Published by Oxford University Press. All rights reserved
spellingShingle Article
Tsuchiya, Yuko
Kinoshita, Kengo
Ito, Nobutoshi
Nakamura, Haruki
PreBI: prediction of biological interfaces of proteins in crystals
title PreBI: prediction of biological interfaces of proteins in crystals
title_full PreBI: prediction of biological interfaces of proteins in crystals
title_fullStr PreBI: prediction of biological interfaces of proteins in crystals
title_full_unstemmed PreBI: prediction of biological interfaces of proteins in crystals
title_short PreBI: prediction of biological interfaces of proteins in crystals
title_sort prebi: prediction of biological interfaces of proteins in crystals
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1538861/
https://www.ncbi.nlm.nih.gov/pubmed/16844993
http://dx.doi.org/10.1093/nar/gkl267
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