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April 14, 2026Anti-Cancer Agents in Medicinal Chemistry0 citations

In-Silico Identification of Natural Compounds as Dual Inhibitors of Aromatase andCDK4/6: A Multi-Target Approach for ER-Positive Breast Cancer Treatment

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PYPriyanka YadavVRV. Samuel RajMYManoj Kumar Yadav

Key Points

  • This research aims to identify natural compounds that can act as dual inhibitors of aromatase and CDK4/6 for treating ER-positive breast cancer.
  • Screened 170,269 natural compounds using multi-target virtual screening from the Asinex database.
  • Conducted molecular docking and ADMET profiling for top candidates.
  • Performed density functional theory analysis, 100 ns molecular dynamics simulations, and MM-GBSA binding calculations.
  • Identified two promising dual-target candidates: LAS52119664 and BBF30702300.
  • Showed binding affinities of −8.21 kcal/mol for aromatase and −197.87 ± 14.09 kcal/mol for CDK4 with LAS52119664.
  • BBF30702300 exhibited binding of −6.21 kcal/mol for aromatase and −110.58 ± 8.43 kcal/mol for CDK6.

Abstract

Introduction: The diagnosis of Estrogen-positive (ER+) breast cancer remains a major challenge for postmenopausal women. The progression of this disease depends heavily on estrogen signaling, which serves as an essential target for treatment strategies. The progression of the disease and the development of resistance to treatment occur because of abnormalities in the cyclin D1-CDK4/6–Rb pathway, even though aromatase inhibitors are effective. Methods: To identify potential dual inhibitors of aromatase and CDK4/6, 170,269 natural compounds from the Asinex database were screened using multi-target virtual screening. The top hits underwent molecular docking, ADMET profiling, density functional theory (DFT) analysis, 100 ns Molecular Dynamics (MD) simulations, and MM-GBSA binding energy calculations as part of a comprehensive in silico analysis. Results: In the initial phase, 76 aromatase-targeting compounds were screened against CDK4 and CDK6. Two dual-target candidates demonstrated promising potential: LAS52119664 and BBF30702300, which showed aromatase (−8.21 kcal/mol) and CDK4 (−197.87 ± 14.09 kcal/mol) binding, and BBF30702300, which showed aromatase (−6.21 kcal/mol) and CDK6 (−110.58 ± 8.43 kcal/mol) binding. Discussion: The DFT analysis demonstrated that the HOMO-LUMO gaps were 0.184 and 0.181 eV, which indicated high reactivity. Both complexes maintained stability during a 100-nanosecond molecular dynamics simulation, as shown by their steady RMSD and RMSF values. ADMET profiling and in silico toxicity predictions confirmed the drug-like features of these compounds. ER+ breast cancer therapy may benefit from these compounds, which act as dual inhibitors. Conclusion: Both LAS52119664 and BBF30702300 emerged as novel and promising natural dual inhibitors of aromatase and CDK4/6, providing a basis for future experimental validation and the development of multitargeted therapies for ER-positive breast cancer.

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Cite This Study

Yadav et al. (2026) studied this question.

synapsesocial.com/papers/69ddd9e1e195c95cdefd74c5https://doi.org/10.2174/0118715206412723251128073929
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Structure‐Guided Identification of Novel Aromatase Inhibitors Targeting Breast Carcinoma2024
  2. 2Screening & Identification of aromatase inhibitors from natural sources towards therapeutic management of breast cancer using computational simulations2026
  3. 3Multitarget Design of Steroidal Inhibitors Against Hormone-Dependent Breast Cancer: An Integrated In Silico Approach2025
  4. 4Identification of Novel Inhibitors for ERα Target of Breast Cancer By In Silico Approach2024 · 1 citations
  5. 5Discovery and Evaluation of Novel Sulfonamide Derivatives Targeting Aromatase in ER+ Breast Cancer2025