Evidence map›Paper›PMID 28878200›Full record

ArticleMetabolites2017

A Protocol for Generating and Exchanging (Genome-Scale) Metabolic Resource Allocation Models.

Alexandra-M Reimers, Henning Lindhorst, Steffen Waldherr

Abstract read
In one paragraph

Article in Metabolites, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Development of a Genome-Scale Metabolic Model ofFrontiers in bioengineering and biotechnology · 2020
    Article
  6. Constraint-based modeling in microbial food biotechnology.Biochemical Society transactions · 2018
    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

3 authors.

Alexandra-M ReimersDepartment of Mathematics and Computer Science, Freie Universität Berlin, 14195 Berlin, Germany. alexandra.reimers@fu-berlin.de.ORCID 0000-0002-5324-3634
Henning LindhorstInstitute for Automation Engineering, Otto-von-Guericke-Universität Magdeburg, 39106 Magdeburg, Germany. henning.lindhorst@ovgu.de.ORCID 0000-0001-9899-2463
Steffen WaldherrKU Leuven, Department of Chemical Engineering, 3001 Leuven, Belgium. steffen.waldherr@kuleuven.be.ORCID 0000-0002-0936-579X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this article, we present a protocol for generating a complete (genome-scale) metabolic resource allocation model, as well as a proposal for how to represent such models in the systems biology markup language (SBML). Such models are used to investigate enzyme levels and achievable growth rates in large-scale metabolic networks. Although the idea of metabolic resource allocation studies has been present in the field of systems biology for some years, no guidelines for generating such a model have been published up to now. This paper presents step-by-step instructions for building a (dynamic) resource allocation model, starting with prerequisites such as a genome-scale metabolic reconstruction, through building protein and noncatalytic biomass synthesis reactions and assigning turnover rates for each reaction. In addition, we explain how one can use SBML level 3 in combination with the flux balance constraints and our resource allocation modeling annotation to represent such models.

Indexed as

constraint-based modelingmetabolic networksoptimalitySBML

Identifiers

PMID28878200
PMCPMC5618332

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.