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The Structure–Function Linkage Database
The Structure–Function Linkage Database (SFLD, http://sfld.rbvi.ucsf.edu/) is a manually curated classification resource describing structure–function relationships for functionally diverse enzyme superfamilies. Members of such superfamilies are diverse in their overall reactions yet share a common...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3965090/ https://www.ncbi.nlm.nih.gov/pubmed/24271399 http://dx.doi.org/10.1093/nar/gkt1130 |
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author | Akiva, Eyal Brown, Shoshana Almonacid, Daniel E. Barber, Alan E. Custer, Ashley F. Hicks, Michael A. Huang, Conrad C. Lauck, Florian Mashiyama, Susan T. Meng, Elaine C. Mischel, David Morris, John H. Ojha, Sunil Schnoes, Alexandra M. Stryke, Doug Yunes, Jeffrey M. Ferrin, Thomas E. Holliday, Gemma L. Babbitt, Patricia C. |
author_facet | Akiva, Eyal Brown, Shoshana Almonacid, Daniel E. Barber, Alan E. Custer, Ashley F. Hicks, Michael A. Huang, Conrad C. Lauck, Florian Mashiyama, Susan T. Meng, Elaine C. Mischel, David Morris, John H. Ojha, Sunil Schnoes, Alexandra M. Stryke, Doug Yunes, Jeffrey M. Ferrin, Thomas E. Holliday, Gemma L. Babbitt, Patricia C. |
author_sort | Akiva, Eyal |
collection | PubMed |
description | The Structure–Function Linkage Database (SFLD, http://sfld.rbvi.ucsf.edu/) is a manually curated classification resource describing structure–function relationships for functionally diverse enzyme superfamilies. Members of such superfamilies are diverse in their overall reactions yet share a common ancestor and some conserved active site features associated with conserved functional attributes such as a partial reaction. Thus, despite their different functions, members of these superfamilies ‘look alike’, making them easy to misannotate. To address this complexity and enable rational transfer of functional features to unknowns only for those members for which we have sufficient functional information, we subdivide superfamily members into subgroups using sequence information, and lastly into families, sets of enzymes known to catalyze the same reaction using the same mechanistic strategy. Browsing and searching options in the SFLD provide access to all of these levels. The SFLD offers manually curated as well as automatically classified superfamily sets, both accompanied by search and download options for all hierarchical levels. Additional information includes multiple sequence alignments, tab-separated files of functional and other attributes, and sequence similarity networks. The latter provide a new and intuitively powerful way to visualize functional trends mapped to the context of sequence similarity. |
format | Online Article Text |
id | pubmed-3965090 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-39650902014-03-25 The Structure–Function Linkage Database Akiva, Eyal Brown, Shoshana Almonacid, Daniel E. Barber, Alan E. Custer, Ashley F. Hicks, Michael A. Huang, Conrad C. Lauck, Florian Mashiyama, Susan T. Meng, Elaine C. Mischel, David Morris, John H. Ojha, Sunil Schnoes, Alexandra M. Stryke, Doug Yunes, Jeffrey M. Ferrin, Thomas E. Holliday, Gemma L. Babbitt, Patricia C. Nucleic Acids Res III. Metabolic and signalling pathways, enzymes The Structure–Function Linkage Database (SFLD, http://sfld.rbvi.ucsf.edu/) is a manually curated classification resource describing structure–function relationships for functionally diverse enzyme superfamilies. Members of such superfamilies are diverse in their overall reactions yet share a common ancestor and some conserved active site features associated with conserved functional attributes such as a partial reaction. Thus, despite their different functions, members of these superfamilies ‘look alike’, making them easy to misannotate. To address this complexity and enable rational transfer of functional features to unknowns only for those members for which we have sufficient functional information, we subdivide superfamily members into subgroups using sequence information, and lastly into families, sets of enzymes known to catalyze the same reaction using the same mechanistic strategy. Browsing and searching options in the SFLD provide access to all of these levels. The SFLD offers manually curated as well as automatically classified superfamily sets, both accompanied by search and download options for all hierarchical levels. Additional information includes multiple sequence alignments, tab-separated files of functional and other attributes, and sequence similarity networks. The latter provide a new and intuitively powerful way to visualize functional trends mapped to the context of sequence similarity. Oxford University Press 2014-01-01 2013-11-23 /pmc/articles/PMC3965090/ /pubmed/24271399 http://dx.doi.org/10.1093/nar/gkt1130 Text en © The Author(s) 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by/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/3.0/), which permits non-commercial reuse, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | III. Metabolic and signalling pathways, enzymes Akiva, Eyal Brown, Shoshana Almonacid, Daniel E. Barber, Alan E. Custer, Ashley F. Hicks, Michael A. Huang, Conrad C. Lauck, Florian Mashiyama, Susan T. Meng, Elaine C. Mischel, David Morris, John H. Ojha, Sunil Schnoes, Alexandra M. Stryke, Doug Yunes, Jeffrey M. Ferrin, Thomas E. Holliday, Gemma L. Babbitt, Patricia C. The Structure–Function Linkage Database |
title | The Structure–Function Linkage Database |
title_full | The Structure–Function Linkage Database |
title_fullStr | The Structure–Function Linkage Database |
title_full_unstemmed | The Structure–Function Linkage Database |
title_short | The Structure–Function Linkage Database |
title_sort | structure–function linkage database |
topic | III. Metabolic and signalling pathways, enzymes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3965090/ https://www.ncbi.nlm.nih.gov/pubmed/24271399 http://dx.doi.org/10.1093/nar/gkt1130 |
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