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RepeatsDB 2.0: improved annotation, classification, search and visualization of repeat protein structures
RepeatsDB 2.0 (URL: http://repeatsdb.bio.unipd.it/) is an update of the database of annotated tandem repeat protein structures. Repeat proteins are a widespread class of non-globular proteins carrying heterogeneous functions involved in several diseases. Here we provide a new version of RepeatsDB wi...
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/PMC5210593/ https://www.ncbi.nlm.nih.gov/pubmed/27899671 http://dx.doi.org/10.1093/nar/gkw1136 |
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author | Paladin, Lisanna Hirsh, Layla Piovesan, Damiano Andrade-Navarro, Miguel A. Kajava, Andrey V. Tosatto, Silvio C.E. |
author_facet | Paladin, Lisanna Hirsh, Layla Piovesan, Damiano Andrade-Navarro, Miguel A. Kajava, Andrey V. Tosatto, Silvio C.E. |
author_sort | Paladin, Lisanna |
collection | PubMed |
description | RepeatsDB 2.0 (URL: http://repeatsdb.bio.unipd.it/) is an update of the database of annotated tandem repeat protein structures. Repeat proteins are a widespread class of non-globular proteins carrying heterogeneous functions involved in several diseases. Here we provide a new version of RepeatsDB with an improved classification schema including high quality annotations for ∼5400 protein structures. RepeatsDB 2.0 features information on start and end positions for the repeat regions and units for all entries. The extensive growth of repeat unit characterization was possible by applying the novel ReUPred annotation method over the entire Protein Data Bank, with data quality is guaranteed by an extensive manual validation for >60% of the entries. The updated web interface includes a new search engine for complex queries and a fully re-designed entry page for a better overview of structural data. It is now possible to compare unit positions, together with secondary structure, fold information and Pfam domains. Moreover, a new classification level has been introduced on top of the existing scheme as an independent layer for sequence similarity relationships at 40%, 60% and 90% identity. |
format | Online Article Text |
id | pubmed-5210593 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-52105932017-01-05 RepeatsDB 2.0: improved annotation, classification, search and visualization of repeat protein structures Paladin, Lisanna Hirsh, Layla Piovesan, Damiano Andrade-Navarro, Miguel A. Kajava, Andrey V. Tosatto, Silvio C.E. Nucleic Acids Res Database Issue RepeatsDB 2.0 (URL: http://repeatsdb.bio.unipd.it/) is an update of the database of annotated tandem repeat protein structures. Repeat proteins are a widespread class of non-globular proteins carrying heterogeneous functions involved in several diseases. Here we provide a new version of RepeatsDB with an improved classification schema including high quality annotations for ∼5400 protein structures. RepeatsDB 2.0 features information on start and end positions for the repeat regions and units for all entries. The extensive growth of repeat unit characterization was possible by applying the novel ReUPred annotation method over the entire Protein Data Bank, with data quality is guaranteed by an extensive manual validation for >60% of the entries. The updated web interface includes a new search engine for complex queries and a fully re-designed entry page for a better overview of structural data. It is now possible to compare unit positions, together with secondary structure, fold information and Pfam domains. Moreover, a new classification level has been introduced on top of the existing scheme as an independent layer for sequence similarity relationships at 40%, 60% and 90% identity. Oxford University Press 2017-01-04 2016-11-28 /pmc/articles/PMC5210593/ /pubmed/27899671 http://dx.doi.org/10.1093/nar/gkw1136 Text en © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue Paladin, Lisanna Hirsh, Layla Piovesan, Damiano Andrade-Navarro, Miguel A. Kajava, Andrey V. Tosatto, Silvio C.E. RepeatsDB 2.0: improved annotation, classification, search and visualization of repeat protein structures |
title | RepeatsDB 2.0: improved annotation, classification, search and visualization of repeat protein structures |
title_full | RepeatsDB 2.0: improved annotation, classification, search and visualization of repeat protein structures |
title_fullStr | RepeatsDB 2.0: improved annotation, classification, search and visualization of repeat protein structures |
title_full_unstemmed | RepeatsDB 2.0: improved annotation, classification, search and visualization of repeat protein structures |
title_short | RepeatsDB 2.0: improved annotation, classification, search and visualization of repeat protein structures |
title_sort | repeatsdb 2.0: improved annotation, classification, search and visualization of repeat protein structures |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210593/ https://www.ncbi.nlm.nih.gov/pubmed/27899671 http://dx.doi.org/10.1093/nar/gkw1136 |
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