Evidence map›Paper›PMID 24556244›Full record

ReviewCurrent opinion in biotechnology2014

The future of whole-cell modeling.

Derek N Macklin, Nicholas A Ruggero, Markus W Covert

Abstract readReview
In one paragraph

Review in Current opinion in biotechnology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Integrative modeling of the cell.Acta biochimica et biophysica Sinica · 2022
    Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Art and Science of the Cellular Mesoscale.Trends in biochemical sciences · 2020
    Review
  16. Article
  17. Whole-Cell Models and Simulations in Molecular Detail.Annual review of cell and developmental biology · 2019
    Review
  18. Article
  19. Article
  20. Emerging whole-cell modeling principles and methods.Current opinion in biotechnology · 2018
    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.

Derek N MacklinDepartment of Bioengineering, Stanford University, Stanford, CA, USA.
Nicholas A RuggeroDepartment of Chemical Engineering, Stanford University, Stanford, CA, USA.
Markus W CovertDepartment of Bioengineering, Stanford University, Stanford, CA, 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
NCCDPHP CDC HHS 5DP1LM011510-05NIGMS NIH HHS P50 GM107615NIH HHS DP1 OD006413NLM NIH HHS DP1 LM011510
6 · The paper itself

Abstract

Integrated whole-cell modeling is poised to make a dramatic impact on molecular and systems biology, bioengineering, and medicine--once certain obstacles are overcome. From our group's experience building a whole-cell model of Mycoplasma genitalium, we identified several significant challenges to building models of more complex cells. Here we review and discuss these challenges in seven areas: first, experimental interrogation; second, data curation; third, model building and integration; fourth, accelerated computation; fifth, analysis and visualization; sixth, model validation; and seventh, collaboration and community development. Surmounting these challenges will require the cooperation of an interdisciplinary group of researchers to create increasingly sophisticated whole-cell models and make data, models, and simulations more accessible to the wider community.

Indexed as

CellsModels, BiologicalComputational BiologyDatabases, FactualMycoplasma gallisepticum

Identifiers

PMID24556244
PMCPMC4111988

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.