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The MiST2 database: a comprehensive genomics resource on microbial signal transduction
- Source :
- Nucleic Acids Research
- Publication Year :
- 2009
- Publisher :
- Oxford University Press (OUP), 2009.
-
Abstract
- The MiST2 database (http://mistdb.com) identifies and catalogs the repertoire of signal transduction proteins in microbial genomes. Signal transduction systems regulate the majority of cellular activities including the metabolism, development, host-recognition, biofilm production, virulence, and antibiotic resistance of human pathogens. Thus, knowledge of the proteins and interactions that comprise these communication networks is an essential component to furthering biomedical discovery. These are identified by searching protein sequences for specific domain profiles that implicate a protein in signal transduction. Compared to the previous version of the database, MiST2 contains a host of new features and improvements including the following: draft genomes; extracytoplasmic function (ECF) sigma factor protein identification; enhanced classification of signaling proteins; novel, high-quality domain models for identifying histidine kinases and response regulators; neighboring two-component genes; gene cart; better search capabilities; enhanced taxonomy browser; advanced genome browser; and a modern, biologist-friendly web interface. MiST2 currently contains 966 complete and 157 draft bacterial and archaeal genomes, which collectively contain more than 245 000 signal transduction proteins. The majority (66%) of these are one-component systems, followed by two-component proteins (26%), chemotaxis (6%), and finally ECF factors (2%).
- Subjects :
- Archaeal Proteins
Information Storage and Retrieval
Virulence
Genomics
Genome browser
Biology
computer.software_genre
Genome
Bacterial Proteins
Genome, Archaeal
Sigma factor
Databases, Genetic
Genetics
Databases, Protein
Gene
Internet
Bacteria
Database
Computational Biology
Chemotaxis
Articles
Archaea
Protein Structure, Tertiary
Signal transduction
computer
Genome, Bacterial
Software
Signal Transduction
Subjects
Details
- ISSN :
- 13624962 and 03051048
- Volume :
- 38
- Database :
- OpenAIRE
- Journal :
- Nucleic Acids Research
- Accession number :
- edsair.doi.dedup.....b0b5140a2050ee937f03333283f0f89f
- Full Text :
- https://doi.org/10.1093/nar/gkp940