Evidence map›Paper›PMID 40356751›Full record

ArticleFrontiers in oncology2025

Rational design of allosteric inhibitors targeting C797S mutant EGFR in NSCLC: an integrative in silico and

Jian Wang, Feiyang Yuan, Mahadevi Kendre, Zhijin He, Shaowei Dong, Abhinandan Patil, Kausing Padvi

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. 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. Review
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

7 authors.

Jian WangDepartment of Thoracic Surgery, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China.
Feiyang YuanDepartment of Thoracic Surgery, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China.
Mahadevi KendreDepartment of Chemical Technology, Dr Babasaheb Ambedkar Marathwada University, Chhatrapati Sambhajinagar, India.
Zhijin HeDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States.
Shaowei DongDepartment Paediatric Research, Shenzhen Children's Hospital, Shenzhen, China.
Abhinandan PatilDepartment of Pharmacy, DY Patil University, Kolhapur, Maharashtra, India.
Kausing PadviDepartment of Chemical Technology, Dr Babasaheb Ambedkar Marathwada University, Chhatrapati Sambhajinagar, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The emergence of the C797S mutation in the epidermal growth factor receptor (EGFR) significantly limits the efficacy of covalent inhibitors in treating non-small cell lung cancer (NSCLC). This study aimed to design and evaluate novel allosteric inhibitors targeting the C797S mutant EGFR using advanced in silico methodologies. Methods: Utilizing scaffold hopping techniques, a library of compounds was generated based on the known allosteric inhibitor EAI045. Virtual screening identified 44 top-scoring compounds with strong binding affinities for the C797S mutant EGFR. Molecular docking studies evaluated binding interactions, while the MM-GBSA method assessed binding free energies. Additionally, pharmacokinetic properties were analysed using Lipinski's rule of five, and the most promising compound, MK1, underwent molecular dynamics simulations followed by Results: A total of 12 heterocyclic scaffolds were derived from EAI045, and 44 top-scoring compounds were identified through virtual screening and MM-GBSA analysis. MK1 demonstrated the highest docking score and a ΔG_bind of -29.36 kcal/mol, with strong interactions involving residues such as LYS728 and MET793. MD simulations over 100 ns confirmed the stability of the MK1-EGFR complex, with RMSD values stabilizing post-50 ns and RMSF values consistently below 3 Å. Conclusion: The findings highlight MK1 as a promising candidate for the treatment of NSCLC harbouring the C797S mutation, providing valuable insights for future drug design and development strategies targeting mutant EGFR.

Indexed as

allosteric inhibitorsC797S mutant EGFRdrug designin-vitro assessmentnon-small cell lung cancer

Identifiers

PMID40356751
PMCPMC12066255

What Socratic holds

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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 Socratic graph.