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Virtual screening of novel alkaloids as potent inhibitors for G2032R-mutant ROS1 kinase in non-small-cell lung cancer
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  • Published: 16 January 2026

Virtual screening of novel alkaloids as potent inhibitors for G2032R-mutant ROS1 kinase in non-small-cell lung cancer

  • Shu-Chi Cho1,
  • Yi-Wen Wang2,
  • Chien-An Chu3,
  • Ming-Chih Huang4 &
  • …
  • Chung-Ta Lee3 

Scientific Reports , Article number:  (2026) Cite this article

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Subjects

  • Biochemistry
  • Cancer
  • Computational biology and bioinformatics
  • Drug discovery

Abstract

The Gly2032Arg (G2032R) point mutation in proto-oncogene tyrosine-protein kinase 1 (ROS1) is one of the predominant factors of drug resistance to targeted therapies in patients with ROS1 fusion-positive non–small-cell lung cancer (NSCLC). This study aimed to identify novel inhibitors from a library of alkaloids (447 compounds) using computational approaches. Molecular docking-based virtual screening was performed to identify promising compounds, followed by ADMET property prediction and molecular dynamics simulations to assess their safety and stability. The top compounds identified were yibeinoside A and vomicine, which exhibited high binding affinities to the G2032R-mutant ROS1 protein. ADMET analysis indicated that yibeinoside A possessed better predicted pharmacokinetic profiles than vomicine and the positive control, lorlatinib. Molecular dynamics simulations demonstrated that yibeinoside A formed a highly stable complex with stable root mean square deviation (RMSD), root mean square fluctuation (RMSF), radius of gyration (Rg), and solvent accessible surface area (SASA) values. Molecular Mechanics Poisson–Boltzmann Surface Area (MM/PBSA) calculations further confirmed that yibeinoside A and vomicine had better binding free energies than lorlatinib. Collectively, these findings suggest that yibeinoside A, with its balanced binding interactions and favorable predicted pharmacokinetic profile, is a promising lead candidate for further development as a selective inhibitor against G2032R-mutant ROS1.

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Data availability

All data generated and analyzed during this study are included in this articl.

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Funding

The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

Author information

Authors and Affiliations

  1. Department of Horticulture, National Chiayi University, No.300 Syuefu Rd, Chiayi City, 60004, Taiwan (ROC)

    Shu-Chi Cho

  2. Department of Food Safety Hygiene and Risk Management, College of Medicine, National Cheng Kung University, No.1, University Road, Tainan City, 701, Taiwan (ROC)

    Yi-Wen Wang

  3. Department of Pathology, College of Medicine, National Cheng Kung University Hospital, No. 1, University Road, Tainan City, 701, Taiwan (ROC)

    Chien-An Chu & Chung-Ta Lee

  4. Department of Biological Sciences and Technology, National University of Tainan, 33, Sec. 2, Shu-Lin St., West Central Dist, Tainan City, 700, Taiwan (ROC)

    Ming-Chih Huang

Authors
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Contributions

Shu-Chi Cho: Conceptualization, data curation, formal analysis, methodology, software, writing - original draft. Yi-Wen Wang: Formal analysis, methodology. Chien-An Chu: Data curation, software. Ming-Chih Huang: Conceptualization, software. Chung-Ta Lee: Conceptualization, funding acquisition, project administration, writing - review and editing. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Chung-Ta Lee.

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Cho, SC., Wang, YW., Chu, CA. et al. Virtual screening of novel alkaloids as potent inhibitors for G2032R-mutant ROS1 kinase in non-small-cell lung cancer. Sci Rep (2026). https://doi.org/10.1038/s41598-026-36317-4

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  • Received: 09 September 2025

  • Accepted: 12 January 2026

  • Published: 16 January 2026

  • DOI: https://doi.org/10.1038/s41598-026-36317-4

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Keywords

  • Alkaloids
  • Virtual screening
  • G2032R-mutant ROS1
  • Computational method
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