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MMDB: 3D structures and macromolecular interactions

Close to 60% of protein sequences tracked in comprehensive databases can be mapped to a known three-dimensional (3D) structure by standard sequence similarity searches. Potentially, a great deal can be learned about proteins or protein families of interest from considering 3D structure, and to this...

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Autores principales: Madej, Thomas, Addess, Kenneth J., Fong, Jessica H., Geer, Lewis Y., Geer, Renata C., Lanczycki, Christopher J., Liu, Chunlei, Lu, Shennan, Marchler-Bauer, Aron, Panchenko, Anna R., Chen, Jie, Thiessen, Paul A., Wang, Yanli, Zhang, Dachuan, Bryant, Stephen H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3245041/
https://www.ncbi.nlm.nih.gov/pubmed/22135289
http://dx.doi.org/10.1093/nar/gkr1162
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author Madej, Thomas
Addess, Kenneth J.
Fong, Jessica H.
Geer, Lewis Y.
Geer, Renata C.
Lanczycki, Christopher J.
Liu, Chunlei
Lu, Shennan
Marchler-Bauer, Aron
Panchenko, Anna R.
Chen, Jie
Thiessen, Paul A.
Wang, Yanli
Zhang, Dachuan
Bryant, Stephen H.
author_facet Madej, Thomas
Addess, Kenneth J.
Fong, Jessica H.
Geer, Lewis Y.
Geer, Renata C.
Lanczycki, Christopher J.
Liu, Chunlei
Lu, Shennan
Marchler-Bauer, Aron
Panchenko, Anna R.
Chen, Jie
Thiessen, Paul A.
Wang, Yanli
Zhang, Dachuan
Bryant, Stephen H.
author_sort Madej, Thomas
collection PubMed
description Close to 60% of protein sequences tracked in comprehensive databases can be mapped to a known three-dimensional (3D) structure by standard sequence similarity searches. Potentially, a great deal can be learned about proteins or protein families of interest from considering 3D structure, and to this day 3D structure data may remain an underutilized resource. Here we present enhancements in the Molecular Modeling Database (MMDB) and its data presentation, specifically pertaining to biologically relevant complexes and molecular interactions. MMDB is tightly integrated with NCBI's Entrez search and retrieval system, and mirrors the contents of the Protein Data Bank. It links protein 3D structure data with sequence data, sequence classification resources and PubChem, a repository of small-molecule chemical structures and their biological activities, facilitating access to 3D structure data not only for structural biologists, but also for molecular biologists and chemists. MMDB provides a complete set of detailed and pre-computed structural alignments obtained with the VAST algorithm, and provides visualization tools for 3D structure and structure/sequence alignment via the molecular graphics viewer Cn3D. MMDB can be accessed at http://www.ncbi.nlm.nih.gov/structure.
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spelling pubmed-32450412012-01-10 MMDB: 3D structures and macromolecular interactions Madej, Thomas Addess, Kenneth J. Fong, Jessica H. Geer, Lewis Y. Geer, Renata C. Lanczycki, Christopher J. Liu, Chunlei Lu, Shennan Marchler-Bauer, Aron Panchenko, Anna R. Chen, Jie Thiessen, Paul A. Wang, Yanli Zhang, Dachuan Bryant, Stephen H. Nucleic Acids Res Articles Close to 60% of protein sequences tracked in comprehensive databases can be mapped to a known three-dimensional (3D) structure by standard sequence similarity searches. Potentially, a great deal can be learned about proteins or protein families of interest from considering 3D structure, and to this day 3D structure data may remain an underutilized resource. Here we present enhancements in the Molecular Modeling Database (MMDB) and its data presentation, specifically pertaining to biologically relevant complexes and molecular interactions. MMDB is tightly integrated with NCBI's Entrez search and retrieval system, and mirrors the contents of the Protein Data Bank. It links protein 3D structure data with sequence data, sequence classification resources and PubChem, a repository of small-molecule chemical structures and their biological activities, facilitating access to 3D structure data not only for structural biologists, but also for molecular biologists and chemists. MMDB provides a complete set of detailed and pre-computed structural alignments obtained with the VAST algorithm, and provides visualization tools for 3D structure and structure/sequence alignment via the molecular graphics viewer Cn3D. MMDB can be accessed at http://www.ncbi.nlm.nih.gov/structure. Oxford University Press 2012-01 2011-11-30 /pmc/articles/PMC3245041/ /pubmed/22135289 http://dx.doi.org/10.1093/nar/gkr1162 Text en Published by Oxford University Press 2011. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Madej, Thomas
Addess, Kenneth J.
Fong, Jessica H.
Geer, Lewis Y.
Geer, Renata C.
Lanczycki, Christopher J.
Liu, Chunlei
Lu, Shennan
Marchler-Bauer, Aron
Panchenko, Anna R.
Chen, Jie
Thiessen, Paul A.
Wang, Yanli
Zhang, Dachuan
Bryant, Stephen H.
MMDB: 3D structures and macromolecular interactions
title MMDB: 3D structures and macromolecular interactions
title_full MMDB: 3D structures and macromolecular interactions
title_fullStr MMDB: 3D structures and macromolecular interactions
title_full_unstemmed MMDB: 3D structures and macromolecular interactions
title_short MMDB: 3D structures and macromolecular interactions
title_sort mmdb: 3d structures and macromolecular interactions
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3245041/
https://www.ncbi.nlm.nih.gov/pubmed/22135289
http://dx.doi.org/10.1093/nar/gkr1162
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