Evidence map›Paper›PMID 34242084›Full record

ArticleEcoSal Plus2021

The E. coli Whole-Cell Modeling Project.

Gwanggyu Sun, Travis A Ahn-Horst, Markus W Covert

Abstract read
In one paragraph

Article in EcoSal Plus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Virtual cell: Current perspectives and future prospects.The Journal of international medical research · 2026
    Review
  4. A NovelbioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. The EcoCyc database (2025).EcoSal Plus · 2025
    Review
  7. Article
  8. Article
  9. Review
  10. Challenging a decades-old paradigm: ProB and ProA do not channel the unstable intermediate in proline synthesis after all.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  11. Article
  12. Article
  13. Microbiome modeling: a beginner's guide.Frontiers in microbiology · 2024
    Review
  14. The EcoCyc Database (2023).EcoSal Plus · 2023
    Review
  15. Article
  16. Article
  17. Multi-scale models of whole cells: progress and challenges.Frontiers in cell and developmental biology · 2023
    Review
  18. Article
  19. Article
  20. 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.

Gwanggyu Sun *Department of Bioengineering, Stanford University, Stanford, California, USA.
Travis A Ahn-Horst *Department of Bioengineering, Stanford University, Stanford, California, USA.
Markus W CovertDepartment of Bioengineering, Stanford University, Stanford, California, USA.

Funding

Deep Curation via an Integrated Whole-Cell Computational ModelR01LM013229 · NLM · STANFORD UNIVERSITY · PI COVERT, MARKUS W · 2020 to 2023
$1.5M
NLM NIH HHS R01 LM013229
6 · The paper itself

Abstract

The Escherichia coli whole-cell modeling project seeks to create the most detailed computational model of an E. coli cell in order to better understand and predict the behavior of this model organism. Details about the approach, framework, and current version of the model are discussed. Currently, the model includes the functions of 43% of characterized genes, with ongoing efforts to include additional data and mechanisms. As additional information is incorporated in the model, its utility and predictive power will continue to increase, which means that discovery efforts can be accelerated by community involvement in the generation and inclusion of data. This project will be an invaluable resource to the E. coli community that could be used to verify expected physiological behavior, to predict new outcomes and testable hypotheses for more efficient experimental design iterations, and to evaluate heterogeneous data sets in the context of each other through deep curation.

Indexed as

Escherichia colicomputational modelingmicrobiologywhole-cell modeling

Identifiers

PMID34242084
PMCPMC11163835

What OpenQuestion holds

Textmetadata
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.