Evidence map›Paper›PMID 42009686›Full record

ReviewNPJ systems biology and applications2026

Matters of life and death in computational cell biology.

Connor McShaffrey, Eran Agmon, Randall D Beer

Abstract readReview
In one paragraph

Review in NPJ systems biology and applications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Connor McShaffreyCognitive Science Program, Indiana University Bloomington, Bloomington, IN, USA. cmcshaff@iu.edu.
Eran AgmonCenter for Cell Analysis and Modeling, University of Connecticut Health, Farmington, CT, USA.
Randall D BeerCognitive Science Program, Indiana University Bloomington, Bloomington, IN, USA.

Funding

TR&D Project 4. The Imaging Stage: Multiscale Spatiotemporal Modeling of Macromolecular Systems in Cellular NeighborhoodsP41GM109824 · NIGMS · ROCKEFELLER UNIVERSITY · PI ROUT, MICHAEL P · 2014 to 2023
$18.8M
John Templeton Foundation 62825National Science Foundation Grant No. 2240777National Science Foundation OCE-2019589NIH HHS P41GM109824
6 · The paper itself

Abstract

Many cell models deal with constraints for life's persistence, yet we lack principles for how dynamics interact with them and their origins in actual biology. Computational biology needs a theory of viability that confronts the life-death boundary to overcome this. We explore how geometric structures in a model's state space offer organizing principles for cell fate, and how idealized models of emergent individuals may help explain life's intrinsically generated limits.

Indexed as

Cell BiologyComputational BiologyModels, BiologicalAnimalsCell DeathHumans

Identifiers

PMID42009686
PMCPMC13280017

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.