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MMDB and VAST+: tracking structural similarities between macromolecular complexes

The computational detection of similarities between protein 3D structures has become an indispensable tool for the detection of homologous relationships, the classification of protein families and functional inference. Consequently, numerous algorithms have been developed that facilitate structure c...

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Detalles Bibliográficos
Autores principales: Madej, Thomas, Lanczycki, Christopher J., Zhang, Dachuan, Thiessen, Paul A., Geer, Renata C., Marchler-Bauer, Aron, Bryant, Stephen H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3965051/
https://www.ncbi.nlm.nih.gov/pubmed/24319143
http://dx.doi.org/10.1093/nar/gkt1208
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author Madej, Thomas
Lanczycki, Christopher J.
Zhang, Dachuan
Thiessen, Paul A.
Geer, Renata C.
Marchler-Bauer, Aron
Bryant, Stephen H.
author_facet Madej, Thomas
Lanczycki, Christopher J.
Zhang, Dachuan
Thiessen, Paul A.
Geer, Renata C.
Marchler-Bauer, Aron
Bryant, Stephen H.
author_sort Madej, Thomas
collection PubMed
description The computational detection of similarities between protein 3D structures has become an indispensable tool for the detection of homologous relationships, the classification of protein families and functional inference. Consequently, numerous algorithms have been developed that facilitate structure comparison, including rapid searches against a steadily growing collection of protein structures. To this end, NCBI’s Molecular Modeling Database (MMDB), which is based on the Protein Data Bank (PDB), maintains a comprehensive and up-to-date archive of protein structure similarities computed with the Vector Alignment Search Tool (VAST). These similarities have been recorded on the level of single proteins and protein domains, comprising in excess of 1.5 billion pairwise alignments. Here we present VAST+, an extension to the existing VAST service, which summarizes and presents structural similarity on the level of biological assemblies or macromolecular complexes. VAST+ simplifies structure neighboring results and shows, for macromolecular complexes tracked in MMDB, lists of similar complexes ranked by the extent of similarity. VAST+ replaces the previous VAST service as the default presentation of structure neighboring data in NCBI’s Entrez query and retrieval system. MMDB and VAST+ can be accessed via http://www.ncbi.nlm.nih.gov/Structure.
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spelling pubmed-39650512014-03-25 MMDB and VAST+: tracking structural similarities between macromolecular complexes Madej, Thomas Lanczycki, Christopher J. Zhang, Dachuan Thiessen, Paul A. Geer, Renata C. Marchler-Bauer, Aron Bryant, Stephen H. Nucleic Acids Res II. Protein sequence and structure, motifs and domains The computational detection of similarities between protein 3D structures has become an indispensable tool for the detection of homologous relationships, the classification of protein families and functional inference. Consequently, numerous algorithms have been developed that facilitate structure comparison, including rapid searches against a steadily growing collection of protein structures. To this end, NCBI’s Molecular Modeling Database (MMDB), which is based on the Protein Data Bank (PDB), maintains a comprehensive and up-to-date archive of protein structure similarities computed with the Vector Alignment Search Tool (VAST). These similarities have been recorded on the level of single proteins and protein domains, comprising in excess of 1.5 billion pairwise alignments. Here we present VAST+, an extension to the existing VAST service, which summarizes and presents structural similarity on the level of biological assemblies or macromolecular complexes. VAST+ simplifies structure neighboring results and shows, for macromolecular complexes tracked in MMDB, lists of similar complexes ranked by the extent of similarity. VAST+ replaces the previous VAST service as the default presentation of structure neighboring data in NCBI’s Entrez query and retrieval system. MMDB and VAST+ can be accessed via http://www.ncbi.nlm.nih.gov/Structure. Oxford University Press 2014-01-01 2013-12-05 /pmc/articles/PMC3965051/ /pubmed/24319143 http://dx.doi.org/10.1093/nar/gkt1208 Text en Published by Oxford University Press 2013. This work is written by US Government employees and is in the public domain in the US.
spellingShingle II. Protein sequence and structure, motifs and domains
Madej, Thomas
Lanczycki, Christopher J.
Zhang, Dachuan
Thiessen, Paul A.
Geer, Renata C.
Marchler-Bauer, Aron
Bryant, Stephen H.
MMDB and VAST+: tracking structural similarities between macromolecular complexes
title MMDB and VAST+: tracking structural similarities between macromolecular complexes
title_full MMDB and VAST+: tracking structural similarities between macromolecular complexes
title_fullStr MMDB and VAST+: tracking structural similarities between macromolecular complexes
title_full_unstemmed MMDB and VAST+: tracking structural similarities between macromolecular complexes
title_short MMDB and VAST+: tracking structural similarities between macromolecular complexes
title_sort mmdb and vast+: tracking structural similarities between macromolecular complexes
topic II. Protein sequence and structure, motifs and domains
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3965051/
https://www.ncbi.nlm.nih.gov/pubmed/24319143
http://dx.doi.org/10.1093/nar/gkt1208
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