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Journal of Visualized Experiments· 2026Q2

In Silico Prioritization of Potential Protein Interactions for Glutathione-Responsive Abasic Site-Trapping Prodrugs in Non-Small Cell Lung Cancer

Xianjun Wang, Zhibo Peng, Yanchao Xing, Li Xue

Short summary

An in silico workflow prioritized AKT1, EGFR, TNF, MMP9, and SRC as key protein targets for two glutathione-responsive prodrugs and their metabolites in non-small cell lung cancer (NSCLC).

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Key points

  • An in silico workflow was used to prioritize protein targets for glutathione-responsive prodrugs in NSCLC.
  • AKT1, EGFR, TNF, MMP9, and SRC were identified as key protein targets based on network pharmacology and protein-protein interaction topology.
  • One prodrug metabolite (Compound 5) showed favorable docking scores with MMP9 (-8.418 kcal·mol⁻¹) and SRC.
  • The binding mode of Compound 5 to MMP9 did not indicate canonical inhibition, suggesting separate mechanisms of action.

AI-generated from the title and abstract; the full text is not read.

Abstract

Non-small cell lung cancer (NSCLC) remains a major cause of cancer-related mortality, and treatment efficacy is frequently limited by acquired resistance and systemic toxicity. Glutathione-responsive abasic site-trapping prodrugs have shown selective anticancer activity in prior experimental studies, but whether their released metabolites also show meaningful interactions with cancer-relevant proteins remains to be established. Here, an integrated in silico workflow combining network pharmacology, molecular docking, molecular dynamics (MD), and molecular mechanics Poisson-Boltzmann surface area (MM-PBSA) analysis was used to prioritize testable protein-interaction hypotheses for two glutathione-responsive prodrugs (Compound 1 and Compound 2), their aminooxy-containing products (Compound 4 and Compound 5), and a matched non-trapping control pair (Compound 3 and Compound 6). Twenty-one intersecting compound- and disease-associated targets were identified, and AKT serine/threonine kinase 1 (AKT1), epidermal growth factor receptor (EGFR), tumor necrosis factor (TNF), matrix metalloproteinase 9 (MMP9), and SRC proto-oncogene non-receptor tyrosine kinase (SRC) were prioritized by protein-protein interaction topology. Compound 5 produced the most favorable single AutoDock Vina score with MMP9 (-8.418 kcal·mol⁻¹) and showed comparatively persistent docking-derived poses across the MMP9 and SRC MD trajectories. However, the top-ranked MMP9 pose did not show direct coordination of the catalytic Zn²⁺ ion or direct engagement of His401, Glu402, His405, or His411, so it cannot be assigned a canonical MMP9 inhibitory binding mode. MD and MM-PBSA analyses characterize only trajectory behavior and the relative energetic ranking of these complexes; they do not demonstrate intracellular target engagement, enzyme inhibition, or pathway regulation. The established abasic-site-trapping activity and the newly predicted protein interactions are therefore treated as separate, potentially parallel hypotheses rather than a demonstrated mechanistic chain. Overall, the results prioritize specific compound-target pairs for future testing but do not establish a multi-target anti-NSCLC mechanism.

The authors' abstract, as published at the source. Journal of Visualized Experiments, 2026 · DOI ↗

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Field: Biochemistry (Biochemistry, Genetics and Molecular Biology)

BiochemistryBiochemistry, Genetics and Molecular Biology