| URL: | https://bmc-caller.prl.msu.edu |
| Full name: | BMC Caller |
| Description: | BMC Caller is a webserver designed to analyze bacterial genome sequences for the presence of Bacterial Microcompartments (BMCs). It uses HMM profiles to identify and categorize BMC types, offering locus visualization and links to structural prediction tools, thereby serving as a reference database for BMCs and facilitating the discovery of new BMC types. |
| Year founded: | 2022 |
| Last update: | 2022-04-28 |
| Version: | v1.0 |
| Accessibility: |
Accessible
|
| Country/Region: | United States |
| Data type: | |
| Data object: | |
| Database category: | |
| Major species: |
NA
|
| Keywords: |
| University/Institution: | Michigan State University |
| Address: | Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI, 48824, USA |
| City: | East Lansing |
| Province/State: | Michigan |
| Country/Region: | United States |
| Contact name (PI/Team): | Cheryl A. Kerfeld |
| Contact email (PI/Helpdesk): | ckerfeld@lbl.gov |
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BMC Caller: a webtool to identify and analyze bacterial microcompartment types in sequence data. [PMID: 35484563]
Bacterial microcompartments (BMCs) are protein-based organelles found across the bacterial tree of life. They consist of a shell, made of proteins that oligomerize into hexagonally and pentagonally shaped building blocks, that surrounds enzymes constituting a segment of a metabolic pathway. The proteins of the shell are unique to BMCs. They also provide selective permeability; this selectivity is dictated by the requirements of their cargo enzymes. We have recently surveyed the wealth of different BMC types and their occurrence in all available genome sequence data by analyzing and categorizing their components found in chromosomal loci using HMM (Hidden Markov Model) protein profiles. To make this a "do-it yourself" analysis for the public we have devised a webserver, BMC Caller ( https://bmc-caller.prl.msu.edu ), that compares user input sequences to our HMM profiles, creates a BMC locus visualization, and defines the functional type of BMC, if known. Shell proteins in the input sequence data are also classified according to our function-agnostic naming system and there are links to similar proteins in our database as well as an external link to a structure prediction website to easily generate structural models of the shell proteins, which facilitates understanding permeability properties of the shell. Additionally, the BMC Caller website contains a wealth of information on previously analyzed BMC loci with links to detailed data for each BMC protein and phylogenetic information on the BMC shell proteins. Our tools greatly facilitate BMC type identification to provide the user information about the associated organism's metabolism and enable discovery of new BMC types by providing a reference database of all currently known examples. |