Evidence map›Paper›PMID 35989599›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2022

Genome-scale metabolic network reconstructions of diverse

Jonathan M Monk

Abstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. New Insights on Metabolic Features ofInternational journal of molecular sciences · 2023
    Article
  6. Genome-scale metabolic network reconstructions of diversePhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Article
  7. Genomic population structures of microbial pathogens.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    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

1 author.

Jonathan M MonkDepartment of Bioengineering, University of California, 9500 Gilman Drive, San Diego, La Jolla, CA 92093-0412, USA.ORCID 0000-0002-3895-8949

Funding

Systems Biology Approach to Redefine Susceptibility Testing and Treatment of MDR Pathogens in the Context of Host ImmunityU01AI124316 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PALSSON, BERNHARD O · 2016 to 2020
$10.2M
NIAID NIH HHS U01 AI124316
6 · The paper itself

Abstract

Bottom-up approaches to systems biology rely on constructing a mechanistic basis for the biochemical and genetic processes that underlie cellular functions. Genome-scale network reconstructions of metabolism are built from all known metabolic reactions and metabolic genes in a target organism. A network reconstruction can be converted into a mathematical format and thus lend itself to mathematical analysis. Genome-scale models (GEMs) of metabolism enable a systems approach to characterize the pan and core metabolic capabilities of the

Indexed as

Metabolic Networks and PathwaysSystems BiologyEscherichia coliGenomeGenome, BacterialGenomicsModels, BiologicalEscherichiagenome-scale modellingmetabolic network reconstruction

Identifiers

PMID35989599
PMCPMC9393557

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.