Bioinformatics Screening of Phenylpropanoids from Pyrostegia venusta in ER+ Breast Cancer

This study investigated the cytotoxic, antiproliferative, and molecular interaction profiles of the phenylpropanoids verbascoside and isoverbascoside from Pyrostegia venusta using in silico approaches. Computational predictions suggested differential cytotoxicity trends between tumor and non-tumor breast cell models compared with tamoxifen. QSAR analyses indicated antiproliferative potential, while docking studies revealed stable ligand–protein interactions with estrogen-related targets and PTEN. ADMET predictions suggested favorable metabolic characteristics, including limited CYP3A4 interaction. Overall, these results provide predictive insights that support further experimental investigation of these phenylpropanoids in ER+ breast cancer models.

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Published
2026-01-26
DOI
https://doi.org/10.3390/msf2026041002
Primary Topic
Phytochemistry and Bioactive Compounds
Type
article
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article

Bioinformatics Screening of Phenylpropanoids from Pyrostegia venusta in ER+ Breast Cancer

Juliana da Silva Coppede, Giulia Maria Camara Leme, Samara Maria Piccirillo de Brito, Isabela Cristina Gomes Honório et al.
Phytochemistry and Bioactive Compounds
article

Bioinformatics Screening of Phenylpropanoids from Pyrostegia venusta in ER+ Breast Cancer

Juliana da Silva Coppede, Giulia Maria Camara Leme, Samara Maria Piccirillo de Brito, Isabela Cristina Gomes Honório, Luiz Henrique Cruz, Silvio de Almeida-Junior, Alex Luiz Pereira, Ana Carolina Maldonado da Costa e Silva, Jhuan Luiz Silva
article en

Abstract

This study investigated the cytotoxic, antiproliferative, and molecular interaction profiles of the phenylpropanoids verbascoside and isoverbascoside from Pyrostegia venusta using in silico approaches. Computational predictions suggested differential cytotoxicity trends between tumor and non-tumor breast cell models compared with tamoxifen. QSAR analyses indicated antiproliferative potential, while docking studies revealed stable ligand–protein interactions with estrogen-related targets and PTEN. ADMET predictions suggested favorable metabolic characteristics, including limited CYP3A4 interaction. Overall, these results provide predictive insights that support further experimental investigation of these phenylpropanoids in ER+ breast cancer models.

Universidade de Ribeirão Preto (BR), Universidade do Estado de Minas Gerais (BR), Universidade de Franca (BR)
Good health and well-being
Openalex Percentile: Top 80%
Phytochemistry and Bioactive Compounds
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