Evidence map›Paper›PMID 39880831›Full record

ArticleScientific reports2025

Elucidating the potential of EGFR mutated NSCLC and identifying its multitargeted inhibitors.

Anakha D Rajeeve, Ramasamy Yamuna, P K Krishnan Namboori

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

  1. Review
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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

3 authors.

Anakha D RajeeveDepartment of Chemistry, Amrita School of Physical Sciences Coimbatore, Amrita Vishwa Vidyapeetham, Coimbatore, India.
Ramasamy YamunaDepartment of Chemistry, Amrita School of Physical Sciences Coimbatore, Amrita Vishwa Vidyapeetham, Coimbatore, India. r_yamuna@cb.amrita.edu.
P K Krishnan NambooriAmrita School of Artificial Intelligences, Coimbatore, Amrita Vishwa Vidyapeetham, Coimbatore, India. n_krishnan@cb.amrita.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is the leading cause of cancer-related fatalities globally, accounting for the highest mortality rate among both men and women. Mutations in the epidermal growth factor receptor (EGFR) gene are frequently found in non-small cell lung cancer (NSCLC). Since curcumin and CB[2]UN support various medicinal applications in drug delivery and design, we investigated the effect of curcumin and CB[2]UN-based drugs in controlling EGFR-mutant NSCLC through a dodecagonal computational approach. Molecular docking studies revealed that the ligands curcumin (-6.9 kcal/mol) and CB[2]UN (-8.1 kcal/mol) bound more strongly to the EGFR-mutant NSCLC proteins with 2ITX and 2ITV, respectively. Molecular dynamics simulation (50 ns) investigation of protein-ligand complexes using RMSD, RMSF, Rg, and SASA indicated that curcumin and CB[2]UN with EGFR-mutant proteins are kinetically stable. In addition, MMPBSA/MMGBSA analysis confirmed the thermodynamic stability of each curcumin and CB[2]UN protein-ligand complex. Finally, KDeep absolute binding affinity calculations show energies of -6.13 kcal/mol and - 5.26 kcal/mol for 2ITX-CUR and 2ITV-CB[2]UN protein-ligand complexes, respectively. Thus, our dodecagonal strategy reveals that 2ITX-CUR and 2ITV-CB[2]UN are more likely to form protein-ligand complexes with more significant binding affinities and excellent stability throughout the 50 ns simulation time.

Indexed as

Antineoplastic AgentsCarcinoma, Non-Small-Cell LungCurcuminErbB ReceptorsLung NeoplasmsMutationProtein Kinase InhibitorsHumansLigandsMolecular Docking SimulationMolecular Dynamics SimulationProtein BindingThermodynamicsAntineoplastic AgentsCurcuminEGFR protein, humanErbB ReceptorsLigandsProtein Kinase InhibitorsCucurbiturilDodecagonal strategyEGFRLung cancerMolecular dynamics simulationMultitargeted inhibitors

Identifiers

PMID39880831
PMCPMC11779874

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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.