Evidence map›Paper›PMID 26471224›Full record

ArticleTrends in cell biology2015

Why Build Whole-Cell Models?

Javier Carrera, Markus W Covert

Abstract read
In one paragraph

Article in Trends in cell biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Data hazards in synthetic biology.Synthetic biology (Oxford, England) · 2024
    Review
  2. Review
  3. Article
  4. What's next for computational systems biology?Frontiers in systems biology · 2023
    Review
  5. Towards modelling emergence in plant systems.Quantitative plant biology · 2023
    Article
  6. Docking-based long timescale simulation of cell-size protein systems at atomic resolution.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  7. Integrative modeling of the cell.Acta biochimica et biophysica Sinica · 2022
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Prediction of Cellular Burden with Host-Circuit Models.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  18. Simultaneous cross-evaluation of heterogeneousScience (New York, N.Y.) · 2020
    Article
  19. Art and Science of the Cellular Mesoscale.Trends in biochemical sciences · 2020
    Review
  20. 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

2 authors.

Javier CarreraDepartment of Bioengineering, Stanford University, 443 Via Ortega, Stanford, CA 94305-4125, USA.
Markus W CovertDepartment of Bioengineering, Stanford University, 443 Via Ortega, Stanford, CA 94305-4125, USA. Electronic address: mcovert@stanford.edu.

Funding

TRAINING & OUTREACH COREP50GM107615 · NIGMS · STANFORD UNIVERSITY · PI FERRELL, JAMES E. · 2013 to 2017
$10.9M
A Gene-Complete Computational Model of YeastDP1OD006413 · OD · STANFORD UNIVERSITY · PI COVERT, MARKUS W · 2009 to 2011
$2.4M
A Gene-Complete Computational Model of YeastDP1LM011510 · NLM · STANFORD UNIVERSITY · PI COVERT, MARKUS W · 2012 to 2013
$1.6M
PEARLS DisseminationR18DP001150 · DP · UNIVERSITY OF WASHINGTON · PI SNOWDEN, MARK · 2007 to 2009
$1.2M
NCCDPHP CDC HHS 5DP1LM01150-05NIGMS NIH HHS P50 GM107615NIGMS NIH HHS P50GM107615NIH HHS DP1 OD006413NLM NIH HHS DP1 LM011510
6 · The paper itself

Abstract

Our ability to build computational models that account for all known gene functions in a cell has increased dramatically. But why build whole-cell models, and how can they best be used? In this forum, we enumerate several areas in which whole-cell modeling can significantly impact research and technology.

Indexed as

Models, BiologicalAnimalsCell Physiological PhenomenaComputational BiologyHumansmodel-driven discoverypredictive biologywhole-cell modeling

Identifiers

PMID26471224
PMCPMC4663153

What OpenQuestion holds

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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.