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Sentra: a database of signal transduction proteins for comparative genome analysis
Sentra (), a database of signal transduction proteins encoded in completely sequenced prokaryotic genomes, has been updated to reflect recent advances in understanding signal transduction events on a whole-genome scale. Sentra consists of two principal components, a manually curated list of signal t...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Oxford University Press
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1751548/ https://www.ncbi.nlm.nih.gov/pubmed/17135204 http://dx.doi.org/10.1093/nar/gkl949 |
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author | D'Souza, Mark Glass, Elizabeth M. Syed, Mustafa H. Zhang, Yi Rodriguez, Alexis Maltsev, Natalia Galperin, Michael Y. |
author_facet | D'Souza, Mark Glass, Elizabeth M. Syed, Mustafa H. Zhang, Yi Rodriguez, Alexis Maltsev, Natalia Galperin, Michael Y. |
author_sort | D'Souza, Mark |
collection | PubMed |
description | Sentra (), a database of signal transduction proteins encoded in completely sequenced prokaryotic genomes, has been updated to reflect recent advances in understanding signal transduction events on a whole-genome scale. Sentra consists of two principal components, a manually curated list of signal transduction proteins in 202 completely sequenced prokaryotic genomes and an automatically generated listing of predicted signaling proteins in 235 sequenced genomes that are awaiting manual curation. In addition to two-component histidine kinases and response regulators, the database now lists manually curated Ser/Thr/Tyr protein kinases and protein phosphatases, as well as adenylate and diguanylate cyclases and c-di-GMP phosphodiesterases, as defined in several recent reviews. All entries in Sentra are extensively annotated with relevant information from public databases (e.g. UniProt, KEGG, PDB and NCBI). Sentra's infrastructure was redesigned to support interactive cross-genome comparisons of signal transduction capabilities of prokaryotic organisms from a taxonomic and phenotypic perspective and in the framework of signal transduction pathways from KEGG. Sentra leverages the PUMA2 system to support interactive analysis and annotation of signal transduction proteins by the users. |
format | Text |
id | pubmed-1751548 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-17515482007-02-22 Sentra: a database of signal transduction proteins for comparative genome analysis D'Souza, Mark Glass, Elizabeth M. Syed, Mustafa H. Zhang, Yi Rodriguez, Alexis Maltsev, Natalia Galperin, Michael Y. Nucleic Acids Res Articles Sentra (), a database of signal transduction proteins encoded in completely sequenced prokaryotic genomes, has been updated to reflect recent advances in understanding signal transduction events on a whole-genome scale. Sentra consists of two principal components, a manually curated list of signal transduction proteins in 202 completely sequenced prokaryotic genomes and an automatically generated listing of predicted signaling proteins in 235 sequenced genomes that are awaiting manual curation. In addition to two-component histidine kinases and response regulators, the database now lists manually curated Ser/Thr/Tyr protein kinases and protein phosphatases, as well as adenylate and diguanylate cyclases and c-di-GMP phosphodiesterases, as defined in several recent reviews. All entries in Sentra are extensively annotated with relevant information from public databases (e.g. UniProt, KEGG, PDB and NCBI). Sentra's infrastructure was redesigned to support interactive cross-genome comparisons of signal transduction capabilities of prokaryotic organisms from a taxonomic and phenotypic perspective and in the framework of signal transduction pathways from KEGG. Sentra leverages the PUMA2 system to support interactive analysis and annotation of signal transduction proteins by the users. Oxford University Press 2007-01 2006-11-29 /pmc/articles/PMC1751548/ /pubmed/17135204 http://dx.doi.org/10.1093/nar/gkl949 Text en Published by Oxford University Press 2006 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles D'Souza, Mark Glass, Elizabeth M. Syed, Mustafa H. Zhang, Yi Rodriguez, Alexis Maltsev, Natalia Galperin, Michael Y. Sentra: a database of signal transduction proteins for comparative genome analysis |
title | Sentra: a database of signal transduction proteins for comparative genome analysis |
title_full | Sentra: a database of signal transduction proteins for comparative genome analysis |
title_fullStr | Sentra: a database of signal transduction proteins for comparative genome analysis |
title_full_unstemmed | Sentra: a database of signal transduction proteins for comparative genome analysis |
title_short | Sentra: a database of signal transduction proteins for comparative genome analysis |
title_sort | sentra: a database of signal transduction proteins for comparative genome analysis |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1751548/ https://www.ncbi.nlm.nih.gov/pubmed/17135204 http://dx.doi.org/10.1093/nar/gkl949 |
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