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InterPro in 2017—beyond protein family and domain annotations
InterPro (http://www.ebi.ac.uk/interpro/) is a freely available database used to classify protein sequences into families and to predict the presence of important domains and sites. InterProScan is the underlying software that allows both protein and nucleic acid sequences to be searched against Int...
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/PMC5210578/ https://www.ncbi.nlm.nih.gov/pubmed/27899635 http://dx.doi.org/10.1093/nar/gkw1107 |
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author | Finn, Robert D. Attwood, Teresa K. Babbitt, Patricia C. Bateman, Alex Bork, Peer Bridge, Alan J. Chang, Hsin-Yu Dosztányi, Zsuzsanna El-Gebali, Sara Fraser, Matthew Gough, Julian Haft, David Holliday, Gemma L. Huang, Hongzhan Huang, Xiaosong Letunic, Ivica Lopez, Rodrigo Lu, Shennan Marchler-Bauer, Aron Mi, Huaiyu Mistry, Jaina Natale, Darren A. Necci, Marco Nuka, Gift Orengo, Christine A. Park, Youngmi Pesseat, Sebastien Piovesan, Damiano Potter, Simon C. Rawlings, Neil D. Redaschi, Nicole Richardson, Lorna Rivoire, Catherine Sangrador-Vegas, Amaia Sigrist, Christian Sillitoe, Ian Smithers, Ben Squizzato, Silvano Sutton, Granger Thanki, Narmada Thomas, Paul D Tosatto, Silvio C. E. Wu, Cathy H. Xenarios, Ioannis Yeh, Lai-Su Young, Siew-Yit Mitchell, Alex L. |
author_facet | Finn, Robert D. Attwood, Teresa K. Babbitt, Patricia C. Bateman, Alex Bork, Peer Bridge, Alan J. Chang, Hsin-Yu Dosztányi, Zsuzsanna El-Gebali, Sara Fraser, Matthew Gough, Julian Haft, David Holliday, Gemma L. Huang, Hongzhan Huang, Xiaosong Letunic, Ivica Lopez, Rodrigo Lu, Shennan Marchler-Bauer, Aron Mi, Huaiyu Mistry, Jaina Natale, Darren A. Necci, Marco Nuka, Gift Orengo, Christine A. Park, Youngmi Pesseat, Sebastien Piovesan, Damiano Potter, Simon C. Rawlings, Neil D. Redaschi, Nicole Richardson, Lorna Rivoire, Catherine Sangrador-Vegas, Amaia Sigrist, Christian Sillitoe, Ian Smithers, Ben Squizzato, Silvano Sutton, Granger Thanki, Narmada Thomas, Paul D Tosatto, Silvio C. E. Wu, Cathy H. Xenarios, Ioannis Yeh, Lai-Su Young, Siew-Yit Mitchell, Alex L. |
author_sort | Finn, Robert D. |
collection | PubMed |
description | InterPro (http://www.ebi.ac.uk/interpro/) is a freely available database used to classify protein sequences into families and to predict the presence of important domains and sites. InterProScan is the underlying software that allows both protein and nucleic acid sequences to be searched against InterPro's predictive models, which are provided by its member databases. Here, we report recent developments with InterPro and its associated software, including the addition of two new databases (SFLD and CDD), and the functionality to include residue-level annotation and prediction of intrinsic disorder. These developments enrich the annotations provided by InterPro, increase the overall number of residues annotated and allow more specific functional inferences. |
format | Online Article Text |
id | pubmed-5210578 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-52105782017-01-05 InterPro in 2017—beyond protein family and domain annotations Finn, Robert D. Attwood, Teresa K. Babbitt, Patricia C. Bateman, Alex Bork, Peer Bridge, Alan J. Chang, Hsin-Yu Dosztányi, Zsuzsanna El-Gebali, Sara Fraser, Matthew Gough, Julian Haft, David Holliday, Gemma L. Huang, Hongzhan Huang, Xiaosong Letunic, Ivica Lopez, Rodrigo Lu, Shennan Marchler-Bauer, Aron Mi, Huaiyu Mistry, Jaina Natale, Darren A. Necci, Marco Nuka, Gift Orengo, Christine A. Park, Youngmi Pesseat, Sebastien Piovesan, Damiano Potter, Simon C. Rawlings, Neil D. Redaschi, Nicole Richardson, Lorna Rivoire, Catherine Sangrador-Vegas, Amaia Sigrist, Christian Sillitoe, Ian Smithers, Ben Squizzato, Silvano Sutton, Granger Thanki, Narmada Thomas, Paul D Tosatto, Silvio C. E. Wu, Cathy H. Xenarios, Ioannis Yeh, Lai-Su Young, Siew-Yit Mitchell, Alex L. Nucleic Acids Res Database Issue InterPro (http://www.ebi.ac.uk/interpro/) is a freely available database used to classify protein sequences into families and to predict the presence of important domains and sites. InterProScan is the underlying software that allows both protein and nucleic acid sequences to be searched against InterPro's predictive models, which are provided by its member databases. Here, we report recent developments with InterPro and its associated software, including the addition of two new databases (SFLD and CDD), and the functionality to include residue-level annotation and prediction of intrinsic disorder. These developments enrich the annotations provided by InterPro, increase the overall number of residues annotated and allow more specific functional inferences. Oxford University Press 2017-01-04 2016-11-28 /pmc/articles/PMC5210578/ /pubmed/27899635 http://dx.doi.org/10.1093/nar/gkw1107 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 Finn, Robert D. Attwood, Teresa K. Babbitt, Patricia C. Bateman, Alex Bork, Peer Bridge, Alan J. Chang, Hsin-Yu Dosztányi, Zsuzsanna El-Gebali, Sara Fraser, Matthew Gough, Julian Haft, David Holliday, Gemma L. Huang, Hongzhan Huang, Xiaosong Letunic, Ivica Lopez, Rodrigo Lu, Shennan Marchler-Bauer, Aron Mi, Huaiyu Mistry, Jaina Natale, Darren A. Necci, Marco Nuka, Gift Orengo, Christine A. Park, Youngmi Pesseat, Sebastien Piovesan, Damiano Potter, Simon C. Rawlings, Neil D. Redaschi, Nicole Richardson, Lorna Rivoire, Catherine Sangrador-Vegas, Amaia Sigrist, Christian Sillitoe, Ian Smithers, Ben Squizzato, Silvano Sutton, Granger Thanki, Narmada Thomas, Paul D Tosatto, Silvio C. E. Wu, Cathy H. Xenarios, Ioannis Yeh, Lai-Su Young, Siew-Yit Mitchell, Alex L. InterPro in 2017—beyond protein family and domain annotations |
title | InterPro in 2017—beyond protein family and domain annotations |
title_full | InterPro in 2017—beyond protein family and domain annotations |
title_fullStr | InterPro in 2017—beyond protein family and domain annotations |
title_full_unstemmed | InterPro in 2017—beyond protein family and domain annotations |
title_short | InterPro in 2017—beyond protein family and domain annotations |
title_sort | interpro in 2017—beyond protein family and domain annotations |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210578/ https://www.ncbi.nlm.nih.gov/pubmed/27899635 http://dx.doi.org/10.1093/nar/gkw1107 |
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