Evidence map›Paper›PMID 41605259›Full record

ArticleRNA biology2026

Non-coding small RNAs buffer protein interactions to prevent oncogenic aggregation: structural dampening of aberrant PPIs by RNA.

Masanobu Chinami

Abstract read
In one paragraph

Article in RNA biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Masanobu ChinamiCancer Research Division, BFSR Institute, Fukuoka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-coding RNAs (ncRNAs) modulate protein-protein interactions (PPIs) by shaping the structural context in which binding occurs, rather than acting as direct inhibitors or enhancers. Using an integrative framework combining catRAPID RNA-protein interaction prediction and AlphaFold3-based structural modelling, we analysed RNA-dependent modulation of interaction states across physiological and oncogenic protein complexes. At the network level, physiological PPIs exhibit high shared ncRNA buffering capacity, whereas oncogenic interactions are characterized by reduced or absent RNA overlap. AlphaFold3 modelling of mutant IDH1/2 complexes illustrates how loss of RNA buffering permits excessive stabilization of enzyme-associated interfaces, reflected by directional changes in buried surface area (ΔBSA) and contact heterogeneity.

Indexed as

Protein Interaction MapsRNA, UntranslatedHumansModels, MolecularProtein BindingRNA, UntranslatedaggregationAlphaFold3catRAPIDNon-coding RNAp53-MDM2protein–protein interactionsRb1–HPV16-E7 and Kras–Raf1structural buffering

Identifiers

PMID41605259
PMCPMC12867418

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.