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Pspace: a program that assesses protein space

BACKGROUND: We describe a computer program named Pspace designed to a) obtain a reliable basis for the description of three-dimensional structures of a given protein family using homology modeling through selection of an optimal subset of the protein family whose structure would be determined experi...

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Detalles Bibliográficos
Autores principales: Mezei, Mihaly, Zhou, Ming-Ming
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2231351/
https://www.ncbi.nlm.nih.gov/pubmed/17956630
http://dx.doi.org/10.1186/1751-0473-2-6
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author Mezei, Mihaly
Zhou, Ming-Ming
author_facet Mezei, Mihaly
Zhou, Ming-Ming
author_sort Mezei, Mihaly
collection PubMed
description BACKGROUND: We describe a computer program named Pspace designed to a) obtain a reliable basis for the description of three-dimensional structures of a given protein family using homology modeling through selection of an optimal subset of the protein family whose structure would be determined experimentally; and b) aid in the search of orthologs by matching two sets of sequences in three different ways. METHODS: The prioritization is established dynamically as new sequences and new structures are becoming available through ranking proteins by their value in providing structural information about the rest of the family set. The matching can give a list of potential orthologs or it can deduce an overall optimal matching of two sets of sequences. RESULTS: The various covering strategies and ortholog searches are tested on the bromodomain family. CONCLUSION: The possibility of extending this approach to the space of all proteins is discussed.
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spelling pubmed-22313512008-02-06 Pspace: a program that assesses protein space Mezei, Mihaly Zhou, Ming-Ming Source Code Biol Med Research BACKGROUND: We describe a computer program named Pspace designed to a) obtain a reliable basis for the description of three-dimensional structures of a given protein family using homology modeling through selection of an optimal subset of the protein family whose structure would be determined experimentally; and b) aid in the search of orthologs by matching two sets of sequences in three different ways. METHODS: The prioritization is established dynamically as new sequences and new structures are becoming available through ranking proteins by their value in providing structural information about the rest of the family set. The matching can give a list of potential orthologs or it can deduce an overall optimal matching of two sets of sequences. RESULTS: The various covering strategies and ortholog searches are tested on the bromodomain family. CONCLUSION: The possibility of extending this approach to the space of all proteins is discussed. BioMed Central 2007-10-23 /pmc/articles/PMC2231351/ /pubmed/17956630 http://dx.doi.org/10.1186/1751-0473-2-6 Text en Copyright © 2007 Mezei and Zhou; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Mezei, Mihaly
Zhou, Ming-Ming
Pspace: a program that assesses protein space
title Pspace: a program that assesses protein space
title_full Pspace: a program that assesses protein space
title_fullStr Pspace: a program that assesses protein space
title_full_unstemmed Pspace: a program that assesses protein space
title_short Pspace: a program that assesses protein space
title_sort pspace: a program that assesses protein space
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2231351/
https://www.ncbi.nlm.nih.gov/pubmed/17956630
http://dx.doi.org/10.1186/1751-0473-2-6
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