Evidence map›Paper›PMID 29367175›Full record

ReviewCurrent opinion in microbiology2018

Modeling the multi-scale mechanisms of macromolecular resource allocation.

Laurence Yang, James T Yurkovich, Zachary A King, Bernhard O Palsson

Abstract readReview
In one paragraph

Review in Current opinion in microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
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  4. Review
  5. Article
  6. Article
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  8. Article
  9. Review
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  11. Review
  12. Article
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  14. Article
  15. Kinetic profiling of metabolic specialists demonstrates stability and consistency of in vivo enzyme turnover numbers.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  16. Review
  17. Review
  18. Review
  19. Article
  20. Cellular responses to reactive oxygen species are predicted from molecular mechanisms.Proceedings of the National Academy of Sciences of the United States of America · 2019
    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

4 authors.

Laurence YangBioengineering Department, University of California, San Diego, La Jolla, CA, USA. Electronic address: lyang@eng.ucsd.edu.
James T YurkovichBioengineering Department, University of California, San Diego, La Jolla, CA, USA; Bioinformatics and Systems Biology Program, University of California, San Diego, La Jolla, CA, USA.
Zachary A KingBioengineering Department, University of California, San Diego, La Jolla, CA, USA.
Bernhard O PalssonBioengineering Department, University of California, San Diego, La Jolla, CA, USA; Bioinformatics and Systems Biology Program, University of California, San Diego, La Jolla, CA, USA; Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA; Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800 Kongens Lyngby, Denmark.

Funding

GENOMICALLY BASED MODELS FOR ANTIBIOTIC DEVELOPMENTR01GM057089 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PALSSON, BERNHARD O · 1998 to 2021
$6.9M
Multiscale Molecular Systems Biology: Reconstruction and Model OptimizationU01GM102098 · NIGMS · STANFORD UNIVERSITY · PI SAUNDERS, MICHAEL ALAN · 2012 to 2016
$1.8M
NIGMS NIH HHS R01 GM057089NIGMS NIH HHS U01 GM102098
6 · The paper itself

Abstract

As microbes face changing environments, they dynamically allocate macromolecular resources to produce a particular phenotypic state. Broad 'omics' data sets have revealed several interesting phenomena regarding how the proteome is allocated under differing conditions, but the functional consequences of these states and how they are achieved remain open questions. Various types of multi-scale mathematical models have been used to elucidate the genetic basis for systems-level adaptations. In this review, we outline several different strategies by which microbes accomplish resource allocation and detail how mathematical models have aided in our understanding of these processes. Ultimately, such modeling efforts have helped elucidate the principles of proteome allocation and hold promise for further discovery.

Indexed as

BacteriaBacterial ProteinsGene Expression Regulation, BacterialMacromolecular SubstancesModels, TheoreticalProteomeBacterial ProteinsMacromolecular SubstancesProteome

Identifiers

PMID29367175
PMCPMC6419967

What OpenQuestion holds

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Read underepoch 390

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.