journal article·2024-10-29Open access

Pharmacoinformatics, Molecular Dynamics Simulation, and Quantum Mechanics Calculation Based Phytochemical Screening of Croton bonplandianum Against Breast Cancer by Targeting Estrogen Receptor-α (ERα)

Shuvo Saha, Partha Biswas, Mohaimenul Islam Tareq, Musfiqur Rahman Sakib, Suraia Akter Rakhi, Md. Nazmul Hasan Zilani, Abdel Halim Harrath, Md. Ataur Rahman, Md. Nazmul Hasan

Applied Sciences· Volume 14· Issue 21

Abstract

Breast cancer progression is strongly influenced by estrogen receptor-α (ERα), a ligand-activated transcription factor that regulates hormone binding, DNA interaction, and transcriptional activation. ERα plays a key role in promoting cell proliferation in breast tissue, and its overexpression is associated with the advancement of breast cancer through estrogen-mediated signaling pathways. Targeting ERα is, therefore, a promising therapeutic strategy for breast cancer. However, there are currently no phytochemical-based drug candidates approved for effectively inhibiting breast cancer progression driven by elevated ERα expression. This study aims to identify phytochemical inhibitors from Croton bonplandianum against ERα using pharmacoinformatics approaches. Eighty-three bioactive compounds from C. bonplandianum were retrieved from the IMPPAT (Indian Medicinal Plants, Phytochemistry, and Therapeutics) database and screened through molecular docking for their binding affinity to ERα. The top candidates were further evaluated through molecular dynamics simulations, ADME analysis, toxicity assessment, and quantum mechanics-based DFT calculations. The thermodynamic properties and HOMO-LUMO energy gap values indicated that the selected compounds were both stable and active. Among them, 2,3-oxidosqualene (CID-5366020) and 5,8,11-eicosatriynoic acid, trimethylsilyl ester (CID-91696396) demonstrated the most potent inhibitory activity against ERα. These findings suggest that these compounds have significant potential as therapeutic agents for breast cancer treatment by targeting ERα.
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Research context

OpenAlex topics: Computational Drug Discovery Methods · Synthesis and biological activity · Bioactive Compounds and Antitumor Agents

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

Affiliations

Department of Genetic Engineering and Biotechnology, Jashore University of Science and Technology, Jashore 7408, Bangladesh

Laboratory of Pharmaceutical Biotechnology and Bioinformatics, Jashore University of Science and Technology, Jashore 7408, Bangladesh

Department of Pharmacy, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj 8100, Bangladesh

Department of Applied Chemistry and Chemical Engineering, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj 8100, Bangladesh

Department of Pharmacy, Jashore University of Science and Technology, Jashore 7408, Bangladesh

Department of Zoology, College of Science, King Saud University, Riyadh 11451, Saudi Arabia

Department of Oncology, Karmanos Cancer Institute, School of Medicine, Wayne State University, Detroit, MI 48201, USA

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