Evidence map›Paper›PMID 35350716›Full record

ArticleFrontiers in molecular biosciences2022

Applications of Coarse-Grained Models in Metabolic Engineering.

Dieu Thi Doan, Manh Dat Hoang, Anna-Lena Heins, Andreas Kremling

Abstract read
In one paragraph

Article in Frontiers in molecular biosciences, 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. Review
  2. Article
  3. Article
  4. From flux analysis to self contained cellular models.Frontiers in systems biology · 2025
    Article
  5. Article
  6. Article
  7. 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.

Dieu Thi DoanSystems Biotechnology, TUM School of Engineering and Design, Technische Universität München, Garching, Germany.
Manh Dat HoangBiochemical Engineering, TUM School of Engineering and Design, Technische Universität München, Garching, Germany.
Anna-Lena HeinsBiochemical Engineering, TUM School of Engineering and Design, Technische Universität München, Garching, Germany.
Andreas KremlingSystems Biotechnology, TUM School of Engineering and Design, Technische Universität München, Garching, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mathematical modeling is a promising tool for better understanding of cellular processes. In recent years, the development of coarse-grained models has gained attraction since these simple models are able to capture and describe a broad range of growth conditions. Coarse-grained models often comprise only two cellular components, a low molecular component as representative for central metabolism and energy generation and a macromolecular component, representing the entire proteome. A framework is presented that presents a strict mass conservative model for bacterial growth during a biotechnological production process. After providing interesting properties for the steady-state solution, applications are presented 1) for a production process of an amino acid and 2) production of a metabolite from central metabolism.

Indexed as

kinetic modelmathematical modelingmetabolic and gene regulatory networksmetabolic engineeringmicrobial growthresource allocationsystems biotechnology

Identifiers

PMID35350716
PMCPMC8957914

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.