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Comparative mapping of sequence-based and structure-based protein domains

BACKGROUND: Protein domains have long been an ill-defined concept in biology. They are generally described as autonomous folding units with evolutionary and functional independence. Both structure-based and sequence-based domain definitions have been widely used. But whether these types of models al...

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Detalles Bibliográficos
Autores principales: Zhang, Ya, Chandonia, John-Marc, Ding, Chris, Holbrook, Stephen R
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1087832/
https://www.ncbi.nlm.nih.gov/pubmed/15790427
http://dx.doi.org/10.1186/1471-2105-6-77
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author Zhang, Ya
Chandonia, John-Marc
Ding, Chris
Holbrook, Stephen R
author_facet Zhang, Ya
Chandonia, John-Marc
Ding, Chris
Holbrook, Stephen R
author_sort Zhang, Ya
collection PubMed
description BACKGROUND: Protein domains have long been an ill-defined concept in biology. They are generally described as autonomous folding units with evolutionary and functional independence. Both structure-based and sequence-based domain definitions have been widely used. But whether these types of models alone can capture all essential features of domains is still an open question. METHODS: Here we provide insight on domain definitions through comparative mapping of two domain classification databases, one sequence-based (Pfam) and the other structure-based (SCOP). A mapping score is defined to indicate the significance of the mapping, and the properties of the mapping matrices are studied. RESULTS: The mapping results show a general agreement between the two databases, as well as many interesting areas of disagreement. In the cases of disagreement, the functional and evolutionary characteristics of the domains are examined to determine which domain definition is biologically more informative.
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spelling pubmed-10878322005-04-30 Comparative mapping of sequence-based and structure-based protein domains Zhang, Ya Chandonia, John-Marc Ding, Chris Holbrook, Stephen R BMC Bioinformatics Research Article BACKGROUND: Protein domains have long been an ill-defined concept in biology. They are generally described as autonomous folding units with evolutionary and functional independence. Both structure-based and sequence-based domain definitions have been widely used. But whether these types of models alone can capture all essential features of domains is still an open question. METHODS: Here we provide insight on domain definitions through comparative mapping of two domain classification databases, one sequence-based (Pfam) and the other structure-based (SCOP). A mapping score is defined to indicate the significance of the mapping, and the properties of the mapping matrices are studied. RESULTS: The mapping results show a general agreement between the two databases, as well as many interesting areas of disagreement. In the cases of disagreement, the functional and evolutionary characteristics of the domains are examined to determine which domain definition is biologically more informative. BioMed Central 2005-03-25 /pmc/articles/PMC1087832/ /pubmed/15790427 http://dx.doi.org/10.1186/1471-2105-6-77 Text en Copyright © 2005 Zhang et al; licensee BioMed Central Ltd.
spellingShingle Research Article
Zhang, Ya
Chandonia, John-Marc
Ding, Chris
Holbrook, Stephen R
Comparative mapping of sequence-based and structure-based protein domains
title Comparative mapping of sequence-based and structure-based protein domains
title_full Comparative mapping of sequence-based and structure-based protein domains
title_fullStr Comparative mapping of sequence-based and structure-based protein domains
title_full_unstemmed Comparative mapping of sequence-based and structure-based protein domains
title_short Comparative mapping of sequence-based and structure-based protein domains
title_sort comparative mapping of sequence-based and structure-based protein domains
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1087832/
https://www.ncbi.nlm.nih.gov/pubmed/15790427
http://dx.doi.org/10.1186/1471-2105-6-77
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