Evidence map›Paper›PMID 35484563›Full record

ArticleBiology direct2022

BMC Caller: a webtool to identify and analyze bacterial microcompartment types in sequence data.

Markus Sutter, Cheryl A Kerfeld

Abstract read
In one paragraph

Article in Biology direct, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Life (Basel, Switzerland) · 2026
    Article
  2. Unusual regulation of the COApplied and environmental microbiology · 2025
    Article
  3. Article
  4. Electrochemical NAD+ regeneration in bacterial organelles.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Electrochemical cofactor recycling of bacterial microcompartments.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  6. Article
  7. Variability inmSystems · 2024
    Article
  8. Electrochemical cofactor recycling of bacterial microcompartments.bioRxiv : the preprint server for biology · 2024
    Article
  9. Article
  10. Review
  11. Article
  12. ZNF750: A Novel Prognostic Biomarker in Metastatic Prostate Cancer.International journal of molecular sciences · 2023
    Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Markus SutterEnvironmental Genomics and Systems Biology and Molecular Biophysics and Integrated Bioimaging Divisions, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.ORCID 0000-0001-6290-4820
Cheryl A KerfeldEnvironmental Genomics and Systems Biology and Molecular Biophysics and Integrated Bioimaging Divisions, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA. ckerfeld@lbl.gov.ORCID 0000-0002-9977-8482

Funding

Structure and Function of Bacterial Microcompartment Shells from Human PathogensR01AI114975 · NIAID · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI KERFELD, CHERYL A · 2015 to 2022
$3.0M
NIAID NIH HHS R01 AI114975
6 · The paper itself

Abstract

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.

Indexed as

BacteriaBacterial ProteinsMetabolic Networks and PathwaysOrganellesPhylogenyBacterial ProteinsBacterial microcompartmentCarboxysomeMetabolosomeProtein HMM profileProtein sequence analysis

Identifiers

PMID35484563
PMCPMC9052549

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.