Evidence map›Paper›PMID 37050874›Full record

ReviewBiophysical journal2023

Building the next generation of virtual cells to understand cellular biology.

Graham T Johnson, Eran Agmon, Matthew Akamatsu, Emma Lundberg, Blair Lyons, Wei Ouyang, Omar A Quintero-Carmona, Megan Riel-Mehan, Susanne Rafelski, Rick Horwitz

Abstract readReview
In one paragraph

Review in Biophysical journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Virtual cell: Current perspectives and future prospects.The Journal of international medical research · 2026
    Review
  5. Review
  6. Protein foundation models: a comprehensive survey.Science China. Life sciences · 2026
    Review
  7. Matters of life and death in computational cell biology.NPJ systems biology and applications · 2026
    Review
  8. Review
  9. Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. A platform for multimodalbioRxiv : the preprint server for biology · 2025
    Article
  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

10 authors.

Graham T JohnsonAllen Institute for Cell Science, Seattle, Washington.
Eran AgmonCenter for Cell Analysis and Modeling, University of Connecticut Health, Farmington, Connecticut.
Matthew AkamatsuDepartment of Biology, University of Washington, Seattle, Washington.
Emma LundbergDepartment of Applied Physics, Science for Life Laboratory, KTH Royal Institute of Technology, Stockholm, Sweden; Department of Bioengineering, Stanford University, Stanford, California; Department of Pathology, Stanford University, Stanford, California; Chan Zuckerberg Biohub, San Francisco, California.
Blair LyonsAllen Institute for Cell Science, Seattle, Washington.
Wei OuyangDepartment of Applied Physics, Science for Life Laboratory, KTH Royal Institute of Technology, Stockholm, Sweden.
Omar A Quintero-CarmonaDepartment of Biology, University of Richmond, Richmond, Virginia.
Megan Riel-MehanAllen Institute for Cell Science, Seattle, Washington.
Susanne RafelskiAllen Institute for Cell Science, Seattle, Washington.
Rick HorwitzAllen Institute for Cell Science, Seattle, Washington. Electronic address: rickh@alleninstitute.org.

Funding

TR&D3: Standards and Tools for Simulator Composition and Credibility portalP41EB023912 · NIBIB · UNIVERSITY OF WASHINGTON · PI Ion I. Moraru, HERBERT M. SAURO · 2018 to 2026
$11.4M
Molecular and biophysical mechanism of plasma membrane internalization during nonclathrin endocytosisR00GM132551 · NIGMS · UNIVERSITY OF WASHINGTON · PI AKAMATSU, MATTHEW SATARO · 2023 to 2025
$747k
NIBIB NIH HHS P41 EB023912NIGMS NIH HHS R00 GM132551
6 · The paper itself

Abstract

Cell science has made significant progress by focusing on understanding individual cellular processes through reductionist approaches. However, the sheer volume of knowledge collected presents challenges in integrating this information across different scales of space and time to comprehend cellular behaviors, as well as making the data and methods more accessible for the community to tackle complex biological questions. This perspective proposes the creation of next-generation virtual cells, which are dynamic 3D models that integrate information from diverse sources, including simulations, biophysical models, image-based models, and evidence-based knowledge graphs. These virtual cells would provide statistically accurate and holistic views of real cells, bridging the gap between theoretical concepts and experimental data, and facilitating productive new collaborations among researchers across related fields.

Indexed as

3D modelsBiophysical modelsCell scienceCommunity collaborationCommunity modelingIntegrating informationKnowledge graphsMultiscale modelingReproducibilitySimulationsSpatial modelsVirtual cells

Identifiers

PMID37050874
PMCPMC10541477

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.