Evidence map›Paper›PMID 41294845›Full record

ReviewCells2025

Mathematical Modeling of Cell Death and Survival: Toward an Integrated Computational Framework for Multi-Decision Regulatory Dynamics.

Elena Kutumova, Ilya Akberdin, Inna Lavrik, Fedor Kolpakov

Abstract readReview
In one paragraph

Review in Cells, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

4 authors.

Elena KutumovaDepartment of Computational Biology, Sirius University of Science and Technology, 354340 Sirius, Russia.ORCID 0000-0001-7746-5760
Ilya AkberdinDepartment of Computational Biology, Sirius University of Science and Technology, 354340 Sirius, Russia.ORCID 0000-0003-0010-8620
Inna LavrikTranslational Inflammation Research, Medical Faculty, Otto von Guericke University Magdeburg, 39106 Magdeburg, Germany.
Fedor KolpakovDepartment of Computational Biology, Sirius University of Science and Technology, 354340 Sirius, Russia.

Funding

Russian Science Foundation 24-14-20031
6 · The paper itself

Abstract

Mathematical modeling is essential for understanding the complex regulatory pathways governing cell death and survival, including apoptosis, necroptosis, pyroptosis, ferroptosis, autophagy, and immunogenic cell death (ICD)-a functional category comprising diverse morphological types capable of activating immune responses. The growing number of models describing individual signaling pathways poses the challenge of integrating them into a cohesive framework. This review aims to identify common components across existing ordinary differential equation models that could serve as key nodes to merge distinct signaling modalities. Proposed models highlight Bcl-2, Bax, Ca

Indexed as

Cell DeathModels, BiologicalModels, TheoreticalAnimalsApoptosisAutophagyCell SurvivalCOVID-19FerroptosisHumansNecroptosisPyroptosisSARS-CoV-2Signal Transductionapoptosisautophagyferroptosisimmunogenic cell deathnecroptosisODE-based modelingpyroptosis

Identifiers

PMID41294845
PMCPMC12651094

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.