Evidence map›Paper›PMID 35558225›Full record

ArticleRSC advances2018

Effect of double mutations T790M/L858R on conformation and drug-resistant mechanism of epidermal growth factor receptor explored by molecular dynamics simulations.

Fangfang Yan, Xinguo Liu, Shaolong Zhang, Jing Su, Qinggang Zhang, Jianzhong Chen

Abstract read
In one paragraph

Article in RSC advances, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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  10. A systematic strategy for the investigation of vaccines and drugs targeting bacteria.Computational and structural biotechnology journal · 2020
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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

6 authors.

Fangfang YanSchool of Physics and Electronics, Shandong Normal University Jinan 250358 China liuxinguo@sdnu.edu.cn.
Xinguo LiuSchool of Physics and Electronics, Shandong Normal University Jinan 250358 China liuxinguo@sdnu.edu.cn.ORCID https://orcid.org/0000-0003-0774-2843
Shaolong ZhangSchool of Physics and Electronics, Shandong Normal University Jinan 250358 China liuxinguo@sdnu.edu.cn.
Jing SuSchool of Physics and Electronics, Shandong Normal University Jinan 250358 China liuxinguo@sdnu.edu.cn.
Qinggang ZhangSchool of Physics and Electronics, Shandong Normal University Jinan 250358 China liuxinguo@sdnu.edu.cn.
Jianzhong ChenSchool of Science, Shandong Jiaotong University Jinan 250357 China chenjianzhong1970@163.com jzchen@sdjtu.edu.cn.ORCID https://orcid.org/0000-0003-1558-4398

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidermal growth factor receptor (EGFR) is one of the most promising targets for the treatment of cancers. Double mutations T790M/L858R lead to different degrees of drug resistance toward inhibitors. In this study, molecular dynamics (MD) simulations followed by principal component analysis are performed to study the conformational changes of EGFR induced by T790M/L858R. The results suggest that T790M/L858R cause obvious disturbance of the structural stability of EGFR. Molecular mechanics-Poisson Boltzmann surface area (MM-PBSA) and residue-based free energy decomposition methods are integrated to explore the drug-resistant mechanism of T790M/L858R toward inhibitors. The results show that the decrease in van der Waals interactions of inhibitors with the mutated EFGR relative to the wild-type (WT) one is the main force inducing drug resistance of T790M/L858R toward inhibitors TAK-285, while drug resistance toward W2P and HKI-272 is dominated by the decrease in van der Waals interactions and the increase in polar interactions. We expect that the information obtained from this study can aid rational design of effective drugs to relieve drug resistance of EGFR induced by T790M/L858R.

Identifiers

PMID35558225
PMCPMC9091310

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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.