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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...

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Autores principales: Paladin, Lisanna, Hirsh, Layla, Piovesan, Damiano, Andrade-Navarro, Miguel A., Kajava, Andrey V., Tosatto, Silvio C.E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
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.
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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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