databases > DOI:10.25504/FAIRsharing.etXuEk
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ready MiST 3.0: Microbial Signal Transduction database

Abbreviation:MiST

General Information
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 Microbial Signal Transduction (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.

Homepage https://mistdb.com/

Countries that developed this resource United States

Created in 2019

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How to cite this record FAIRsharing.org: MiST; MiST 3.0: Microbial Signal Transduction database; DOI: https://doi.org/10.25504/FAIRsharing.etXuEk; Last edited: Dec. 19, 2019, 11:06 a.m.; Last accessed: Sep 25 2021 10:45 p.m.

Publication for citation  MiST 3.0: an updated microbial signal transduction database with an emphasis on chemosensory systems Vadim M Gumerov, Davi R Ortega, Ogun Adebali, Luke E Ulrich, Igor B Zhulin; Nucleic Acids Research ; 2019; 10.1093/nar/gkz988;


This record is maintained by Netuns  ORCID

Record added: Oct. 21, 2019, 11:16 p.m.
Record updated: Nov. 22, 2019, 8:23 p.m. by Netuns.

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MiST API http://api.mistdb.com


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MiST 3.0: an updated microbial signal transduction database with an emphasis on chemosensory systems

Vadim M Gumerov, Davi R Ortega, Ogun Adebali, Luke E Ulrich, Igor B Zhulin
Nucleic Acids Research 2019

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  • R01DE024463 (National Institutes of Health (NIH), Bethesda, MD, USA)

  • R35GM131760 (National Institutes of Health (NIH), Bethesda, MD, USA)