Evidence map›Paper›PMID 40650000›Full record

ArticleInternational journal of molecular sciences2025

Conformational Remodeling and Allosteric Regulation Underlying EGFR Mutant-Induced Activation: A Multi-Scale Analysis Using MD, MSMs, and NRI.

Hui Duan, De-Rui Zhao, Meng-Ting Liu, Li-Quan Yang, Peng Sang

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Hui DuanCollege of Agriculture and Biological Science, Dali University, Dali 671000, China.
De-Rui ZhaoCollege of Agriculture and Biological Science, Dali University, Dali 671000, China.
Meng-Ting LiuCollege of Agriculture and Biological Science, Dali University, Dali 671000, China.ORCID 0009-0006-3420-0483
Li-Quan YangCollege of Agriculture and Biological Science, Dali University, Dali 671000, China.
Peng SangCollege of Agriculture and Biological Science, Dali University, Dali 671000, China.

Funding

Xingdian Talents Support Program of Yunnan Province YNWR-QNBJ-2020-086
6 · The paper itself

Abstract

Activating mutations in the epidermal growth factor receptor (EGFR) are key oncogenic drivers across multiple cancers, yet the structural mechanisms by which these mutations promote persistent receptor activation remain elusive. Here, we investigate how three clinically relevant mutations-T790M, L858R, and the T790M_L858R double mutant-reshape EGFR's conformational ensemble and regulatory network architecture. Using multiscale molecular simulations and kinetic modeling, we show that these mutations, particularly in combination, enhance flexibility in the αC-helix and A-loop, favoring activation-competent states. Markov state modeling reveals a shift in equilibrium toward active macrostates and accelerated transitions between metastable conformations. To resolve the underlying coordination mechanism, we apply neural relational inference to reconstruct time-dependent interaction networks, uncovering the mutation-induced rewiring of allosteric pathways linking distant regulatory regions. This coupling of conformational redistribution with network remodeling provides a mechanistic rationale for sustained EGFR activation and suggests new opportunities for targeting dynamically organized allosteric circuits in therapeutic design.

Indexed as

ErbB ReceptorsMutationAllosteric RegulationHumansKineticsMarkov ChainsMolecular Dynamics SimulationProtein ConformationEGFR protein, humanErbB Receptorsallosteric regulationconformational dynamicsEGFRMarkov state modelsneural relational inference

Identifiers

PMID40650000
PMCPMC12250381

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Registered trials

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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.