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MiST: a microbial signal transduction database

Signal transduction pathways control most cellular activities in living cells ranging from regulation of gene expression to fine-tuning enzymatic activity and controlling motile behavior in response to extracellular and intracellular signals. Because of their extreme sequence variability and extensi...

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Detalles Bibliográficos
Autores principales: Ulrich, Luke E., Zhulin, Igor B.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1747179/
https://www.ncbi.nlm.nih.gov/pubmed/17135192
http://dx.doi.org/10.1093/nar/gkl932
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author Ulrich, Luke E.
Zhulin, Igor B.
author_facet Ulrich, Luke E.
Zhulin, Igor B.
author_sort Ulrich, Luke E.
collection PubMed
description Signal transduction pathways control most cellular activities in living cells ranging from regulation of gene expression to fine-tuning enzymatic activity and controlling motile behavior in response to extracellular and intracellular signals. Because of their extreme sequence variability and extensive domain shuffling, signal transduction proteins are difficult to identify, and their current annotation in most leading databases is often incomplete or erroneous. To overcome this problem, we have developed the microbial signal transduction (MiST) database (), a comprehensive library of the signal transduction proteins from completely sequenced bacterial and archaeal genomes. By searching for domain profiles that implicate a particular protein as participating in signal transduction, we have systematically identified 69 270 two- and one-component proteins in 365 bacterial and archaeal genomes. We have designed a user-friendly website to access and browse the predicted signal transduction proteins within various organisms. Further capabilities include gene/protein sequence retrieval, visualized domain architectures, interactive chromosomal views for exploring gene neighborhood, advanced querying options and cross-species comparison. Newly available, complete genomes are loaded into the database each month. MiST is the only comprehensive and up-to-date electronic catalog of the signaling machinery in microbial genomes.
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spelling pubmed-17471792007-02-22 MiST: a microbial signal transduction database Ulrich, Luke E. Zhulin, Igor B. Nucleic Acids Res Articles Signal transduction pathways control most cellular activities in living cells ranging from regulation of gene expression to fine-tuning enzymatic activity and controlling motile behavior in response to extracellular and intracellular signals. Because of their extreme sequence variability and extensive domain shuffling, signal transduction proteins are difficult to identify, and their current annotation in most leading databases is often incomplete or erroneous. To overcome this problem, we have developed the microbial signal transduction (MiST) database (), a comprehensive library of the signal transduction proteins from completely sequenced bacterial and archaeal genomes. By searching for domain profiles that implicate a particular protein as participating in signal transduction, we have systematically identified 69 270 two- and one-component proteins in 365 bacterial and archaeal genomes. We have designed a user-friendly website to access and browse the predicted signal transduction proteins within various organisms. Further capabilities include gene/protein sequence retrieval, visualized domain architectures, interactive chromosomal views for exploring gene neighborhood, advanced querying options and cross-species comparison. Newly available, complete genomes are loaded into the database each month. MiST is the only comprehensive and up-to-date electronic catalog of the signaling machinery in microbial genomes. Oxford University Press 2007-01 2006-11-28 /pmc/articles/PMC1747179/ /pubmed/17135192 http://dx.doi.org/10.1093/nar/gkl932 Text en © 2006 The Author(s) 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
Ulrich, Luke E.
Zhulin, Igor B.
MiST: a microbial signal transduction database
title MiST: a microbial signal transduction database
title_full MiST: a microbial signal transduction database
title_fullStr MiST: a microbial signal transduction database
title_full_unstemmed MiST: a microbial signal transduction database
title_short MiST: a microbial signal transduction database
title_sort mist: a microbial signal transduction database
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1747179/
https://www.ncbi.nlm.nih.gov/pubmed/17135192
http://dx.doi.org/10.1093/nar/gkl932
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