Evidence map›Paper›PMID 39596533›Full record

ArticleInternational journal of molecular sciences2024

A Study of the Community Relationships Between Methanotrophs and Their Satellites Using Constraint-Based Modeling Approach.

Maryam A Esembaeva, Mikhail A Kulyashov, Fedor A Kolpakov, Ilya R Akberdin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

4 authors.

Maryam A EsembaevaDepartment of Computational Biology, Scientific Center of Genetics and Life Sciences, Sirius University of Science and Technology, Sirius 354340, Russia.ORCID 0000-0003-2591-459X
Mikhail A KulyashovDepartment of Computational Biology, Scientific Center of Genetics and Life Sciences, Sirius University of Science and Technology, Sirius 354340, Russia.ORCID 0000-0002-4808-0922
Fedor A KolpakovDepartment of Computational Biology, Scientific Center of Genetics and Life Sciences, Sirius University of Science and Technology, Sirius 354340, Russia.
Ilya R AkberdinDepartment of Computational Biology, Scientific Center of Genetics and Life Sciences, Sirius University of Science and Technology, Sirius 354340, Russia.ORCID 0000-0003-0010-8620

Funding

State program of the «Sirius» Federal Territory «Scientific and technological development of the «Sirius» Federal Territory» Agreement №18-03 date 10.09.2024
6 · The paper itself

Abstract

Biotechnology continues to drive innovation in the production of pharmaceuticals, biofuels, and other valuable compounds, leveraging the power of microbial systems for enhanced yield and sustainability. Genome-scale metabolic (GSM) modeling has become an essential approach in this field, which enables a guide for targeting genetic modifications and the optimization of metabolic pathways for various industrial applications. While single-species GSM models have traditionally been employed to optimize strains like

Indexed as

Escherichia coliAcetatesMetabolic Networks and PathwaysMethylococcus capsulatusModels, BiologicalNitrogenAcetatesNitrogenbacterial satellitescommunity modelingconstraint-based modelingEscherichia coli W3110methane-utilizing bacteriamethanotrophyMethylococcus capsulatus (Bath)

Identifiers

PMID39596533
PMCPMC11594979

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.