Evidence map›Paper›PMID 42012740›Full record

ArticleBulletin of mathematical biology2026

Analysis of the Modulation of RAF Signaling by 14-3-3 Proteins.

Peter Carlip, Edward C Stites

Abstract read
In one paragraph

Article in Bulletin of mathematical biology, 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. 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.

Peter CarlipDepartment of Laboratory Medicine, Yale Cancer Center, Yale School of Medicine, 300 George St., New Haven, CT, 06512, USA.
Edward C StitesDepartment of Laboratory Medicine, Yale Cancer Center, Yale School of Medicine, 300 George St., New Haven, CT, 06512, USA. edward.stites@yale.edu.ORCID http://orcid.org/0000-0002-3783-7336

Funding

Systems Approaches for Opening Therapeutic WindowsDP2AT011327 · NCCIH · YALE UNIVERSITY · PI STITES, EDWARD C. · 2020 to 2020
$2.6M
NCCIH NIH HHS DP2 AT011327NCCIH NIH HHS DP2AT011327
6 · The paper itself

Abstract

The regulation of cellular biochemical signaling reactions includes the modulation of protein activity through a variety of processes. For example, signaling by the RAF kinases, which are key transmitters of extracellular growth signals downstream from the RAS GTPases, is modulated by dimerization, protein conformational changes, post-translational modifications, and protein-protein interactions. 14-3-3 proteins are known to play an important role in RAF signal regulation, and have the ability to stabilize both inactive (monomeric) and active (dimeric) states of RAF. It is poorly understood how these antagonistic roles ultimately modulate RAF signaling. To investigate, we develop a mathematical model of RAF activation with both roles of 14-3-3, perform algebraic and numeric analyses, and compare with available experimental data. We derive the conditions necessary to explain experimental observations that 14-3-3 overexpression activates RAF, and we show that even arbitrarily strong binding of 14-3-3 to RAF dimers alone could not necessarily explain this observation. Our integrated analysis also suggests that RAF-14-3-3 binding is relatively weak (significant amounts of RAF would remain unbound if only the first affinity were a factor), and instead that changing avidity more directly controls the bound fraction. Lastly we consider the limit at which RAF-14-3-3 interactions are driven solely by avidity, which allows for significant simplifications to the interaction model. Overall, our work presents a mathematical model that can serve as a foundational piece for future, extended, studies of signaling reactions involving regulated RAF kinase activity.

Indexed as

14-3-3 ProteinsModels, Biologicalraf KinasesSignal TransductionAnimalsHumansMathematical ConceptsProtein BindingProtein Multimerization14-3-3 Proteinsraf Kinases

Identifiers

PMID42012740
PMCPMC13099701

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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.