Thiourea Derivatives as Estrogen Receptor Alpha Inhibitors for Breast Cancer Therapy: An In Silico Evaluation with ADMET Prediction and Molecular Docking

Breast cancer remains a significant public health concern, necessitating the discovery of novel therapeutic agents. This study investigates the potential of thiourea derivatives, specifically HU, HTMX, and BMPTU compounds, as estrogen receptor alpha (ERα) inhibitors using computational approaches. Drug-likeness assessments using Lipinski's Ro5 confirmed the oral bioavailability of all compounds. Additionally, ADMET analysis indicated favorable pharmacokinetic properties, with minimal metabolic interactions and acceptable safety profiles, except for BMPTU2, which showed potential hepatotoxicity. Molecular docking simulations revealed strong binding affinities between BMPTU derivatives, particularly BMPTU2, BMPTU3, and BMPTU4, and key ERα residues. These interactions suggest their potential as ERα modulators, warranting further in silico and experimental validation. In conclusion, the findings highlight the potential of BMPTU derivatives, especially BMPTU2, BMPTU3, and BMPTU4, as promising lead compounds for developing novel ERα-targeted breast cancer therapies. Further optimization and validation are crucial to fully elucidate their therapeutic potential.

Authors

Institutions

Publication Details

Journal
Borneo Journal of Pharmacy
Published
2024-08-30
DOI
https://doi.org/10.33084/bjop.v7i3.7396
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Thiourea Derivatives as Estrogen Receptor Alpha Inhibitors for Breast Cancer Therapy: An In Silico Evaluation with ADMET Prediction and Molecular Docking

Tri Widiandani, Siswandono Siswandono, M. Artabah Muchlisin, Bambang Purwanto et al.
Borneo Journal of Pharmacy
Computational Drug Discovery Methods
article

Thiourea Derivatives as Estrogen Receptor Alpha Inhibitors for Breast Cancer Therapy: An In Silico Evaluation with ADMET Prediction and Molecular Docking

Tri Widiandani, Siswandono Siswandono, M. Artabah Muchlisin, Bambang Purwanto, Hestining Puspaweni
article en

Abstract

Breast cancer remains a significant public health concern, necessitating the discovery of novel therapeutic agents. This study investigates the potential of thiourea derivatives, specifically HU, HTMX, and BMPTU compounds, as estrogen receptor alpha (ERα) inhibitors using computational approaches. Drug-likeness assessments using Lipinski's Ro5 confirmed the oral bioavailability of all compounds. Additionally, ADMET analysis indicated favorable pharmacokinetic properties, with minimal metabolic interactions and acceptable safety profiles, except for BMPTU2, which showed potential hepatotoxicity. Molecular docking simulations revealed strong binding affinities between BMPTU derivatives, particularly BMPTU2, BMPTU3, and BMPTU4, and key ERα residues. These interactions suggest their potential as ERα modulators, warranting further in silico and experimental validation. In conclusion, the findings highlight the potential of BMPTU derivatives, especially BMPTU2, BMPTU3, and BMPTU4, as promising lead compounds for developing novel ERα-targeted breast cancer therapies. Further optimization and validation are crucial to fully elucidate their therapeutic potential.

Borneo Journal of PharmacyVol. 7(3)
Universitas Airlangga (ID), Institut Ilmu Kesehatan Bhakti Wiyata (ID), Universitas Muhammadiyah Malang (ID)
Openalex Percentile: Top 79%
Computational Drug Discovery Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Thiourea Derivatives as Estrogen Receptor Alpha Inhibitors for Breast Cancer Therapy: An In Silico Evaluation with ADMET Prediction and Molecular Docking — Tri Widiandani, Siswandono Siswandono, et al. · Borneo Journal of Pharmacy (2024) | TGRS Research Map | TGRS