Evidence map›Paper›PMID 25136273›Full record

ArticleJournal of chemical theory and computation2014

Conformational Transition Pathways of Epidermal Growth Factor Receptor Kinase Domain from Multiple Molecular Dynamics Simulations and Bayesian Clustering.

Yan Li, Xiang Li, Weiya Ma, Zigang Dong

Open access · bronzeAbstract read
In one paragraph

Article in Journal of chemical theory and computation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.7field-weighted citation impact, top 7% of its field
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

15 citing papers in PubMed, 29 citations in OpenAlex.

  1. Mutant-Selective Binding ofInternational journal of molecular sciences · 2026
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  8. Altered conformational landscape and dimerization dependency underpins the activation of EGFR byProceedings of the National Academy of Sciences of the United States of America · 2018
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  15. Statistical analysis of EGFR structures' performance in virtual screening.Journal of computer-aided molecular design · 2015
    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

4 authors at 2 institutions in 2 countries.

Yan LiThe Hormel Institute, University of Minnesota , Austin, Minnesota 55912, United States.
Xiang LiDepartment of Physiology and Pathophysiology, School of Basic Medical Sciences, Zhengzhou University , 450001 Zhengzhou, Henan, China.
Weiya MaThe Hormel Institute, University of Minnesota , Austin, Minnesota 55912, United States.
Zigang DongThe Hormel Institute, University of Minnesota , Austin, Minnesota 55912, United States.
University of Minnesota · USZhengzhou University · CN

Funding

Developing new ornithine decarboxylase inhibitors to prevent skin & colon cancerR01CA166011 · NCI · UNIVERSITY OF MINNESOTA · PI DONG, ZIGANG · 2013 to 2017
$1.6M
NCI NIH HHS R01 CA166011
6 · The paper itself

Abstract

The epidermal growth factor receptor (EGFR) is aberrantly activated in various cancer cells and an important target for cancer treatment. Deep understanding of EGFR conformational changes between the active and inactive states is of pharmaceutical interest. Here we present a strategy combining multiply targeted molecular dynamics simulations, unbiased molecular dynamics simulations, and Bayesian clustering to investigate transition pathways during the activation/inactivation process of EGFR kinase domain. Two distinct pathways between the active and inactive forms are designed, explored, and compared. Based on Bayesian clustering and rough two-dimensional free energy surfaces, the energy-favorable pathway is recognized, though DFG-flip happens in both pathways. In addition, another pathway with different intermediate states appears in our simulations. Comparison of distinct pathways also indicates that disruption of the Lys745-Glu762 interaction is critically important in DFG-flip while movement of the A-loop significantly facilitates the conformational change. Our simulations yield new insights into EGFR conformational transitions. Moreover, our results verify that this approach is valid and efficient in sampling of protein conformational changes and comparison of distinct pathways.

Identifiers

PMID25136273
PMCPMC4132868
OpenAlexW2024658365

What OpenQuestion holds

Textmetadata
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.