MiST

MiST catalogs signal transduction proteins in bacterial and archaeal genomes to identify and classify domains and components of microbial signaling systems involved in metabolism, development, host recognition, biofilm production, virulence, and antibiotic resistance.

Key Features:

• Inclusion of Draft Genomes: Includes draft alongside complete genomes to broaden the set of microbial genomic data analyzed.
• ECF Sigma Factor Identification: Improved detection of extracytoplasmic function (ECF) sigma factor proteins.
• Enhanced Classification of Signaling Proteins: Provides a refined classification system for more precise identification and categorization of signaling proteins.
• High-Quality Domain Models: Employs novel domain models to accurately identify histidine kinases and response regulators.
• Neighboring Two-Component Genes: Captures information on genes neighboring two-component system components to inform potential regulatory interactions.

Scientific Applications:

• Signaling protein inventories: Provides a repository covering 966 complete and 157 draft bacterial and archaeal genomes with over 245,000 signal transduction proteins for large-scale inventories and statistics.
• Comparative genomics of signaling systems: Enables comparison of presence, absence, and distribution of signaling components across genomes.
• Two-component system analysis: Supports identification and classification of histidine kinases and response regulators and their genomic context.
• ECF sigma factor studies: Facilitates detection and analysis of extracytoplasmic function sigma factors across microbial genomes.

Methodology:

Searches protein sequences for specific domain profiles and employs novel domain models to identify histidine kinases, response regulators, and ECF sigma factor proteins.