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MiST 3.0: an updated microbial signal transduction database with an emphasis on chemosensory systems
Bacteria and archaea employ dedicated signal transduction systems that modulate gene expression, second-messenger turnover, quorum sensing, biofilm formation, motility, host-pathogen and beneficial interactions. The updated MiST database provides a comprehensive classification of microbial signal tr...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6943060/ https://www.ncbi.nlm.nih.gov/pubmed/31754718 http://dx.doi.org/10.1093/nar/gkz988 |
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author | Gumerov, Vadim M Ortega, Davi R Adebali, Ogun Ulrich, Luke E Zhulin, Igor B |
author_facet | Gumerov, Vadim M Ortega, Davi R Adebali, Ogun Ulrich, Luke E Zhulin, Igor B |
author_sort | Gumerov, Vadim M |
collection | PubMed |
description | Bacteria and archaea employ dedicated signal transduction systems that modulate gene expression, second-messenger turnover, quorum sensing, biofilm formation, motility, host-pathogen and beneficial interactions. The updated MiST database provides a comprehensive classification of microbial signal transduction systems. This update is a result of a substantial scaling to accommodate constantly growing microbial genomic data. More than 125 000 genomes, 516 million genes and almost 100 million unique protein sequences are currently stored in the database. For each bacterial and archaeal genome, MiST 3.0 provides a complete signal transduction profile, thus facilitating theoretical and experimental studies on signal transduction and gene regulation. New software infrastructure and distributed pipeline implemented in MiST 3.0 enable regular genome updates based on the NCBI RefSeq database. A novel MiST feature is the integration of unique profile HMMs to link complex chemosensory systems with corresponding chemoreceptors in bacterial and archaeal genomes. The data can be explored online or via RESTful API (freely available at https://mistdb.com). |
format | Online Article Text |
id | pubmed-6943060 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-69430602020-01-08 MiST 3.0: an updated microbial signal transduction database with an emphasis on chemosensory systems Gumerov, Vadim M Ortega, Davi R Adebali, Ogun Ulrich, Luke E Zhulin, Igor B Nucleic Acids Res Database Issue Bacteria and archaea employ dedicated signal transduction systems that modulate gene expression, second-messenger turnover, quorum sensing, biofilm formation, motility, host-pathogen and beneficial interactions. The updated MiST database provides a comprehensive classification of microbial signal transduction systems. This update is a result of a substantial scaling to accommodate constantly growing microbial genomic data. More than 125 000 genomes, 516 million genes and almost 100 million unique protein sequences are currently stored in the database. For each bacterial and archaeal genome, MiST 3.0 provides a complete signal transduction profile, thus facilitating theoretical and experimental studies on signal transduction and gene regulation. New software infrastructure and distributed pipeline implemented in MiST 3.0 enable regular genome updates based on the NCBI RefSeq database. A novel MiST feature is the integration of unique profile HMMs to link complex chemosensory systems with corresponding chemoreceptors in bacterial and archaeal genomes. The data can be explored online or via RESTful API (freely available at https://mistdb.com). Oxford University Press 2020-01-08 2019-11-22 /pmc/articles/PMC6943060/ /pubmed/31754718 http://dx.doi.org/10.1093/nar/gkz988 Text en © The Author(s) 2019. 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 Gumerov, Vadim M Ortega, Davi R Adebali, Ogun Ulrich, Luke E Zhulin, Igor B MiST 3.0: an updated microbial signal transduction database with an emphasis on chemosensory systems |
title | MiST 3.0: an updated microbial signal transduction database with an emphasis on chemosensory systems |
title_full | MiST 3.0: an updated microbial signal transduction database with an emphasis on chemosensory systems |
title_fullStr | MiST 3.0: an updated microbial signal transduction database with an emphasis on chemosensory systems |
title_full_unstemmed | MiST 3.0: an updated microbial signal transduction database with an emphasis on chemosensory systems |
title_short | MiST 3.0: an updated microbial signal transduction database with an emphasis on chemosensory systems |
title_sort | mist 3.0: an updated microbial signal transduction database with an emphasis on chemosensory systems |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6943060/ https://www.ncbi.nlm.nih.gov/pubmed/31754718 http://dx.doi.org/10.1093/nar/gkz988 |
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