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December 20, 2025Journal of Computer-Aided Molecular Design6 citations

Computational study on QSAR modeling, molecular docking, and ADMET profiling of pyrazole-modified catalpol derivatives as prospective dual inhibitors of VEGFR-2/BRAF V600E

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VSVikas SinghSPSumanta K. PalSPSoumen Kumar Pati

Key Points

  • To examine pyrazole-modified catalpol derivatives as dual inhibitors for pancreatic and esophageal cancers through QSAR modeling and molecular docking.
  • Analyzed fourteen pyrazole-modified catalpol derivatives for anticancer activity against four cancer cell lines.
  • Conducted QSAR modeling using Genetic Function Algorithm and Multiple Linear Regression validated by statistical metrics.
  • Performed molecular docking on VEGFR-2 and BRAF V600E using AutoDockVina and ADMET profiling.
  • Compound 3k exhibited the highest binding affinity for VEGFR-2 (−8.18 kcal/mol) and BRAF (−8.64 kcal/mol).
  • External validation R2 pred values were high for all tested cell lines, indicating strong predictive ability.
  • ADMET analysis revealed good intestinal absorption and compliance with Lipinski’s rule.

Abstract

Pancreatic and Esophageal cancers are highly aggressive with high mortality and limited treatment, causing over 466,000 and 544,100 deaths worldwide in 2020 respectively. This highlights the urgent need for safer,and effective anticancer agents . Catalpol, a natural iridoid glycoside, shows anticancer potential, but due to its poor drug-like properties it requires structural modification. This study investigates pyrazole-modified catalpol derivatives as dual inhibitors for these cancers using Quantitative Structure Activity Relationship (QSAR) modelling, molecular docking, and pharmacokinetic studies. We analyzed fourteen pyrazole-modified catalpol derivatives with reported IC50values against four cancer cell lines(BxPC-3, PANC-1, Eca109, and EC9706). The molecules were optimized using DensityFunctional Theory (DFT), and 2D molecular descriptors were calculated using PaDEL. QSAR models were developed by utilizing a Genetic Function Algorithm (GFA) and Multiple Linear Regression (MLR) and validated using statistical metrics such as R 2 , Q 2 , R 2 adj, and R 2 pred. Docking studies targeted VEGFR-2 and BRAF V600E kinases using AutoDockVina, while ADMET and drug-likeness properties were predicted using SwissADME and pkCSM tools. The external validation R 2 pred values for BxPC-3, PANC-1, Eca109, and EC9706 cell lines were 0.9412, 0.9535, 0.9981, and 0.9935, respectively. Among the derivatives, compound 3k showed the highest binding affinity for VEGFR-2 (− 8.18 kcal/mol) and BRAF (− 8.64 kcal/mol), surpassing the control drugs etoposide (− 8.00 kcal/mol) and dabrafenib (− 8.15 kcal/mol) respectively. ADMET analysis confirmed good intestinal absorption, limited blood-brain barrier penetration, non-toxicity, acceptable total clearance, and compliance with Lipinski’s rule. Overall, the study suggests that pyrazole-modified catalpol derivatives, especially compound 3k, are promising multi-target inhibitors for pancreatic and esophageal cancers, justify further in-vitro and in-vivo studies.

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Cite This Study

Singh et al. (2025) studied this question.

synapsesocial.com/papers/6945ea41742299010fff02fehttps://doi.org/10.1007/s10822-025-00684-3
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