Evidence map›Paper›PMID 33780471›Full record

ArticlePloS one2021

MCPdb: The bacterial microcompartment database.

Jessica M Ochoa, Kaylie Bair, Thomas Holton, Thomas A Bobik, Todd O Yeates

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
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  8. Review
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

5 authors.

Jessica M OchoaUCLA Molecular Biology Institute, University of California Los Angeles, Los Angeles, California, United States of America.
Kaylie BairUCLA-DOE Institute for Genomics and Proteomics, University of California Los Angeles, Los Angeles, California, United States of America.
Thomas HoltonUCLA Department of Chemistry and Biochemistry, University of California Los Angeles, Los Angeles, California, United States of America.
Thomas A BobikRoy J. Carver Department of Biochemistry, Biophysics and Molecular Biology, Iowa State University, Ames, Iowa, United States of America.
Todd O YeatesUCLA Molecular Biology Institute, University of California Los Angeles, Los Angeles, California, United States of America.ORCID 0000-0001-5709-9839

Funding

Dissecting the structure, function, and mechanisms of diverse protein-based metabolic organelles in bacteriaR01AI081146 · NIAID · IOWA STATE UNIVERSITY · PI BOBIK, THOMAS AQUINAS, YEATES, TODD O · 2009 to 2022
$6.5M
Howard Hughes Medical InstituteNIAID NIH HHS R01 AI081146
6 · The paper itself

Abstract

Bacterial microcompartments are organelle-like structures composed entirely of proteins. They have evolved to carry out several distinct and specialized metabolic functions in a wide variety of bacteria. Their outer shell is constructed from thousands of tessellating protein subunits, encapsulating enzymes that carry out the internal metabolic reactions. The shell proteins are varied, with single, tandem and permuted versions of the PF00936 protein family domain comprising the primary structural component of their polyhedral architecture, which is reminiscent of a viral capsid. While considerable amounts of structural and biophysical data have been generated in the last 15 years, the existing functionalities of current resources have limited our ability to rapidly understand the functional and structural properties of microcompartments (MCPs) and their diversity. In order to make the remarkable structural features of bacterial microcompartments accessible to a broad community of scientists and non-specialists, we developed MCPdb: The Bacterial Microcompartment Database (https://mcpdb.mbi.ucla.edu/). MCPdb is a comprehensive resource that categorizes and organizes known microcompartment protein structures and their larger assemblies. To emphasize the critical roles symmetric assembly and architecture play in microcompartment function, each structure in the MCPdb is validated and annotated with respect to: (1) its predicted natural assembly state (2) tertiary structure and topology and (3) the metabolic compartment type from which it derives. The current database includes 163 structures and is available to the public with the anticipation that it will serve as a growing resource for scientists interested in understanding protein-based metabolic organelles in bacteria.

Indexed as

Databases, GeneticAmino Acid SequenceBacteriaBacterial ProteinsCell CompartmentationOrganellesProtein DomainsBacterial Proteins

Identifiers

PMID33780471
PMCPMC8007038

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.