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CATH: an expanded resource to predict protein function through structure and sequence
The latest version of the CATH-Gene3D protein structure classification database has recently been released (version 4.1, http://www.cathdb.info). The resource comprises over 300 000 domain structures and over 53 million protein domains classified into 2737 homologous superfamilies, doubling the numb...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210570/ https://www.ncbi.nlm.nih.gov/pubmed/27899584 http://dx.doi.org/10.1093/nar/gkw1098 |
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author | Dawson, Natalie L. Lewis, Tony E. Das, Sayoni Lees, Jonathan G. Lee, David Ashford, Paul Orengo, Christine A. Sillitoe, Ian |
author_facet | Dawson, Natalie L. Lewis, Tony E. Das, Sayoni Lees, Jonathan G. Lee, David Ashford, Paul Orengo, Christine A. Sillitoe, Ian |
author_sort | Dawson, Natalie L. |
collection | PubMed |
description | The latest version of the CATH-Gene3D protein structure classification database has recently been released (version 4.1, http://www.cathdb.info). The resource comprises over 300 000 domain structures and over 53 million protein domains classified into 2737 homologous superfamilies, doubling the number of predicted protein domains in the previous version. The daily-updated CATH-B, which contains our very latest domain assignment data, provides putative classifications for over 100 000 additional protein domains. This article describes developments to the CATH-Gene3D resource over the last two years since the publication in 2015, including: significant increases to our structural and sequence coverage; expansion of the functional families in CATH; building a support vector machine (SVM) to automatically assign domains to superfamilies; improved search facilities to return alignments of query sequences against multiple sequence alignments; the redesign of the web pages and download site. |
format | Online Article Text |
id | pubmed-5210570 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-52105702017-01-05 CATH: an expanded resource to predict protein function through structure and sequence Dawson, Natalie L. Lewis, Tony E. Das, Sayoni Lees, Jonathan G. Lee, David Ashford, Paul Orengo, Christine A. Sillitoe, Ian Nucleic Acids Res Database Issue The latest version of the CATH-Gene3D protein structure classification database has recently been released (version 4.1, http://www.cathdb.info). The resource comprises over 300 000 domain structures and over 53 million protein domains classified into 2737 homologous superfamilies, doubling the number of predicted protein domains in the previous version. The daily-updated CATH-B, which contains our very latest domain assignment data, provides putative classifications for over 100 000 additional protein domains. This article describes developments to the CATH-Gene3D resource over the last two years since the publication in 2015, including: significant increases to our structural and sequence coverage; expansion of the functional families in CATH; building a support vector machine (SVM) to automatically assign domains to superfamilies; improved search facilities to return alignments of query sequences against multiple sequence alignments; the redesign of the web pages and download site. Oxford University Press 2017-01-04 2016-11-29 /pmc/articles/PMC5210570/ /pubmed/27899584 http://dx.doi.org/10.1093/nar/gkw1098 Text en © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Issue Dawson, Natalie L. Lewis, Tony E. Das, Sayoni Lees, Jonathan G. Lee, David Ashford, Paul Orengo, Christine A. Sillitoe, Ian CATH: an expanded resource to predict protein function through structure and sequence |
title | CATH: an expanded resource to predict protein function through structure and sequence |
title_full | CATH: an expanded resource to predict protein function through structure and sequence |
title_fullStr | CATH: an expanded resource to predict protein function through structure and sequence |
title_full_unstemmed | CATH: an expanded resource to predict protein function through structure and sequence |
title_short | CATH: an expanded resource to predict protein function through structure and sequence |
title_sort | cath: an expanded resource to predict protein function through structure and sequence |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210570/ https://www.ncbi.nlm.nih.gov/pubmed/27899584 http://dx.doi.org/10.1093/nar/gkw1098 |
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