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An integrated approach to the interpretation of Single Amino Acid Polymorphisms within the framework of CATH and Gene3D

BACKGROUND: The phenotypic effects of sequence variations in protein-coding regions come about primarily via their effects on the resulting structures, for example by disrupting active sites or affecting structural stability. In order better to understand the mechanisms behind known mutant phenotype...

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Autores principales: Izarzugaza, Jose MG, Baresic, Anja, McMillan, Lisa EM, Yeats, Corin, Clegg, Andrew B, Orengo, Christine A, Martin, Andrew CR, Valencia, Alfonso
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2745587/
https://www.ncbi.nlm.nih.gov/pubmed/19758469
http://dx.doi.org/10.1186/1471-2105-10-S8-S5
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author Izarzugaza, Jose MG
Baresic, Anja
McMillan, Lisa EM
Yeats, Corin
Clegg, Andrew B
Orengo, Christine A
Martin, Andrew CR
Valencia, Alfonso
author_facet Izarzugaza, Jose MG
Baresic, Anja
McMillan, Lisa EM
Yeats, Corin
Clegg, Andrew B
Orengo, Christine A
Martin, Andrew CR
Valencia, Alfonso
author_sort Izarzugaza, Jose MG
collection PubMed
description BACKGROUND: The phenotypic effects of sequence variations in protein-coding regions come about primarily via their effects on the resulting structures, for example by disrupting active sites or affecting structural stability. In order better to understand the mechanisms behind known mutant phenotypes, and predict the effects of novel variations, biologists need tools to gauge the impacts of DNA mutations in terms of their structural manifestation. Although many mutations occur within domains whose structure has been solved, many more occur within genes whose protein products have not been structurally characterized. RESULTS: Here we present 3DSim (3D Structural Implication of Mutations), a database and web application facilitating the localization and visualization of single amino acid polymorphisms (SAAPs) mapped to protein structures even where the structure of the protein of interest is unknown. The server displays information on 6514 point mutations, 4865 of them known to be associated with disease. These polymorphisms are drawn from SAAPdb, which aggregates data from various sources including dbSNP and several pathogenic mutation databases. While the SAAPdb interface displays mutations on known structures, 3DSim projects mutations onto known sequence domains in Gene3D. This resource contains sequences annotated with domains predicted to belong to structural families in the CATH database. Mappings between domain sequences in Gene3D and known structures in CATH are obtained using a MUSCLE alignment. 1210 three-dimensional structures corresponding to CATH structural domains are currently included in 3DSim; these domains are distributed across 396 CATH superfamilies, and provide a comprehensive overview of the distribution of mutations in structural space. CONCLUSION: The server is publicly available at . In addition, the database containing the mapping between SAAPdb, Gene3D and CATH is available on request and most of the functionality is available through programmatic web service access.
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spelling pubmed-27455872009-09-18 An integrated approach to the interpretation of Single Amino Acid Polymorphisms within the framework of CATH and Gene3D Izarzugaza, Jose MG Baresic, Anja McMillan, Lisa EM Yeats, Corin Clegg, Andrew B Orengo, Christine A Martin, Andrew CR Valencia, Alfonso BMC Bioinformatics Research BACKGROUND: The phenotypic effects of sequence variations in protein-coding regions come about primarily via their effects on the resulting structures, for example by disrupting active sites or affecting structural stability. In order better to understand the mechanisms behind known mutant phenotypes, and predict the effects of novel variations, biologists need tools to gauge the impacts of DNA mutations in terms of their structural manifestation. Although many mutations occur within domains whose structure has been solved, many more occur within genes whose protein products have not been structurally characterized. RESULTS: Here we present 3DSim (3D Structural Implication of Mutations), a database and web application facilitating the localization and visualization of single amino acid polymorphisms (SAAPs) mapped to protein structures even where the structure of the protein of interest is unknown. The server displays information on 6514 point mutations, 4865 of them known to be associated with disease. These polymorphisms are drawn from SAAPdb, which aggregates data from various sources including dbSNP and several pathogenic mutation databases. While the SAAPdb interface displays mutations on known structures, 3DSim projects mutations onto known sequence domains in Gene3D. This resource contains sequences annotated with domains predicted to belong to structural families in the CATH database. Mappings between domain sequences in Gene3D and known structures in CATH are obtained using a MUSCLE alignment. 1210 three-dimensional structures corresponding to CATH structural domains are currently included in 3DSim; these domains are distributed across 396 CATH superfamilies, and provide a comprehensive overview of the distribution of mutations in structural space. CONCLUSION: The server is publicly available at . In addition, the database containing the mapping between SAAPdb, Gene3D and CATH is available on request and most of the functionality is available through programmatic web service access. BioMed Central 2009-08-27 /pmc/articles/PMC2745587/ /pubmed/19758469 http://dx.doi.org/10.1186/1471-2105-10-S8-S5 Text en Copyright © 2009 Izarzugaza et al; 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
Izarzugaza, Jose MG
Baresic, Anja
McMillan, Lisa EM
Yeats, Corin
Clegg, Andrew B
Orengo, Christine A
Martin, Andrew CR
Valencia, Alfonso
An integrated approach to the interpretation of Single Amino Acid Polymorphisms within the framework of CATH and Gene3D
title An integrated approach to the interpretation of Single Amino Acid Polymorphisms within the framework of CATH and Gene3D
title_full An integrated approach to the interpretation of Single Amino Acid Polymorphisms within the framework of CATH and Gene3D
title_fullStr An integrated approach to the interpretation of Single Amino Acid Polymorphisms within the framework of CATH and Gene3D
title_full_unstemmed An integrated approach to the interpretation of Single Amino Acid Polymorphisms within the framework of CATH and Gene3D
title_short An integrated approach to the interpretation of Single Amino Acid Polymorphisms within the framework of CATH and Gene3D
title_sort integrated approach to the interpretation of single amino acid polymorphisms within the framework of cath and gene3d
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2745587/
https://www.ncbi.nlm.nih.gov/pubmed/19758469
http://dx.doi.org/10.1186/1471-2105-10-S8-S5
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