journal article·2025-07-30Open access

In Silico Approaches for the Discovery of Novel Pyrazoline Benzenesulfonamide Derivatives as Anti-Breast Cancer Agents Against Estrogen Receptor Alpha (ERα)

Dadang Muhammad Hasyim, Ida Musfiroh, Rudi Hendra, Taufik Muhammad Fakih, Nur Kusaira Khairul Ikram, Muchtaridi Muchtaridi

Applied Sciences· Volume 15· Issue 15

Abstract

Estrogen receptor alpha (ERα) plays a vital role in the development and progression of breast cancer by regulating the expression of genes associated with cell proliferation in breast tissue. ERα inhibition is a key strategy in the prevention and treatment of breast cancer. Previous research modified chalcone compounds into pyrazoline benzenesulfonamide derivatives (Modifina) which show activity as an ERα inhibitor. This study aimed to design novel pyrazoline benzenesulfonamide derivatives (PBDs) as ERα antagonists using in silico approaches. Structure-based and ligand-based drug design approaches were used to create drug target molecules. A total of forty-five target molecules were initially designed and screened for drug likeness (Lipinski’s rule of five), cytotoxicity, pharmacokinetics and toxicity using a web-based prediction tools. Promising candidates were subjected to molecular docking using AutoDock 4.2.6 to evaluate their binding interaction with ERα, followed by molecular dynamics simulations using AMBER20 to assess complex stability. A pharmacophore model was also generated using LigandScout 4.4.3 Advanced. The molecular docking results identified PBD-17 and PBD-20 as the most promising compounds, with binding free energies (ΔG) of −11.21 kcal/mol and −11.15 kcal/mol, respectively. Both formed hydrogen bonds with key ERα residues ARG394, GLU353, and LEU387. MM-PBSA further supported these findings, with binding energies of −58.23 kJ/mol for PDB-17 and −139.46 kJ/mol for PDB-20, compared to −145.31 kJ/mol, for the reference compound, 4-OHT. Although slightly less favorable than 4-OHT, PBD-20 demonstrated a more stable interaction with ERα than PBD-17. Furthermore, pharmacophore screening showed that both PBD-17 and PBD-20 aligned well with the generated model, each achieving a match score of 45.20. These findings suggest that PBD-17 and PBD-20 are promising lead compounds for the development of a potent ERα inhibitor in breast cancer therapy.
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Research context

OpenAlex topics: Computational Drug Discovery Methods · Synthesis and biological activity · Estrogen and related hormone effects

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Doctoral Program of Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Sumedang 45363, West Java, Indonesia

Department of Pharmacy, STIKes Karsa Husada Garut, Garut 44151, West Java, Indonesia

Department of Pharmaceutical Analysis and Medicinal Chemistry, Faculty of Pharmacy, Universitas Padjadjaran, Sumedang 45363, West Java, Indonesia

Department of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Riau, Pekanbaru 28293, Riau, Indonesia

Department of Pharmacy, Faculty Mathematics and Natural Sciences, Universitas Islam, Bandung 40116, West Java, Indonesia

Institute of Biological Sciences, Faculty of Science, Universiti Malaya, Kuala Lumpur 50603, Malaysia

Research Collaboration Center for Radiopharmaceuticals Theranostic, Sumedang 45363, West Java, Indonesia

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