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MMDB: annotating protein sequences with Entrez's 3D-structure database

Three-dimensional (3D) structure is now known for a large fraction of all protein families. Thus, it has become rather likely that one will find a homolog with known 3D structure when searching a sequence database with an arbitrary query sequence. Depending on the extent of similarity, such neighbor...

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Autores principales: Wang, Yanli, Addess, Kenneth J., Chen, Jie, Geer, Lewis Y., He, Jane, He, Siqian, Lu, Shennan, Madej, Thomas, Marchler-Bauer, Aron, Thiessen, Paul A., Zhang, Naigong, Bryant, Stephen H.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1751549/
https://www.ncbi.nlm.nih.gov/pubmed/17135201
http://dx.doi.org/10.1093/nar/gkl952
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author Wang, Yanli
Addess, Kenneth J.
Chen, Jie
Geer, Lewis Y.
He, Jane
He, Siqian
Lu, Shennan
Madej, Thomas
Marchler-Bauer, Aron
Thiessen, Paul A.
Zhang, Naigong
Bryant, Stephen H.
author_facet Wang, Yanli
Addess, Kenneth J.
Chen, Jie
Geer, Lewis Y.
He, Jane
He, Siqian
Lu, Shennan
Madej, Thomas
Marchler-Bauer, Aron
Thiessen, Paul A.
Zhang, Naigong
Bryant, Stephen H.
author_sort Wang, Yanli
collection PubMed
description Three-dimensional (3D) structure is now known for a large fraction of all protein families. Thus, it has become rather likely that one will find a homolog with known 3D structure when searching a sequence database with an arbitrary query sequence. Depending on the extent of similarity, such neighbor relationships may allow one to infer biological function and to identify functional sites such as binding motifs or catalytic centers. Entrez's 3D-structure database, the Molecular Modeling Database (MMDB), provides easy access to the richness of 3D structure data and its large potential for functional annotation. Entrez's search engine offers several tools to assist biologist users: (i) links between databases, such as between protein sequences and structures, (ii) pre-computed sequence and structure neighbors, (iii) visualization of structure and sequence/structure alignment. Here, we describe an annotation service that combines some of these tools automatically, Entrez's ‘Related Structure’ links. For all proteins in Entrez, similar sequences with known 3D structure are detected by BLAST and alignments are recorded. The ‘Related Structure’ service summarizes this information and presents 3D views mapping sequence residues onto all 3D structures available in MMDB ().
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spelling pubmed-17515492007-02-22 MMDB: annotating protein sequences with Entrez's 3D-structure database Wang, Yanli Addess, Kenneth J. Chen, Jie Geer, Lewis Y. He, Jane He, Siqian Lu, Shennan Madej, Thomas Marchler-Bauer, Aron Thiessen, Paul A. Zhang, Naigong Bryant, Stephen H. Nucleic Acids Res Articles Three-dimensional (3D) structure is now known for a large fraction of all protein families. Thus, it has become rather likely that one will find a homolog with known 3D structure when searching a sequence database with an arbitrary query sequence. Depending on the extent of similarity, such neighbor relationships may allow one to infer biological function and to identify functional sites such as binding motifs or catalytic centers. Entrez's 3D-structure database, the Molecular Modeling Database (MMDB), provides easy access to the richness of 3D structure data and its large potential for functional annotation. Entrez's search engine offers several tools to assist biologist users: (i) links between databases, such as between protein sequences and structures, (ii) pre-computed sequence and structure neighbors, (iii) visualization of structure and sequence/structure alignment. Here, we describe an annotation service that combines some of these tools automatically, Entrez's ‘Related Structure’ links. For all proteins in Entrez, similar sequences with known 3D structure are detected by BLAST and alignments are recorded. The ‘Related Structure’ service summarizes this information and presents 3D views mapping sequence residues onto all 3D structures available in MMDB (). Oxford University Press 2007-01 2006-11-29 /pmc/articles/PMC1751549/ /pubmed/17135201 http://dx.doi.org/10.1093/nar/gkl952 Text en © 2006 The Author(s) 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
Wang, Yanli
Addess, Kenneth J.
Chen, Jie
Geer, Lewis Y.
He, Jane
He, Siqian
Lu, Shennan
Madej, Thomas
Marchler-Bauer, Aron
Thiessen, Paul A.
Zhang, Naigong
Bryant, Stephen H.
MMDB: annotating protein sequences with Entrez's 3D-structure database
title MMDB: annotating protein sequences with Entrez's 3D-structure database
title_full MMDB: annotating protein sequences with Entrez's 3D-structure database
title_fullStr MMDB: annotating protein sequences with Entrez's 3D-structure database
title_full_unstemmed MMDB: annotating protein sequences with Entrez's 3D-structure database
title_short MMDB: annotating protein sequences with Entrez's 3D-structure database
title_sort mmdb: annotating protein sequences with entrez's 3d-structure database
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1751549/
https://www.ncbi.nlm.nih.gov/pubmed/17135201
http://dx.doi.org/10.1093/nar/gkl952
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