Literature DB >> 32786601

Structures of Endocrine-Disrupting Chemicals Determine Binding to and Activation of the Estrogen Receptor α and Androgen Receptor.

Haoyue Tan1, Xiaoxiang Wang2, Huixiao Hong3, Emilio Benfenati4, John P Giesy5,6,7, Giuseppina C Gini8, Rebeca Kusko9, Xiaowei Zhang1, Hongxia Yu1, Wei Shi1.   

Abstract

Endocrine-disrupting chemicals (EDCs) can interact with nuclear receptors, including estrogen receptor α (ERα) and androgen receptor (AR), to affect the normal endocrine system function, causing severe symptoms. Limited studies queried the EDC mechanisms, focusing on limited chemicals or a set of structurally similar compounds. It remained uncertain how hundreds of diverse EDCs could bind to ERα and AR and cause distinct functional consequences. Here, we employed a series of computational methodologies to investigate the structural features of EDCs that bind to and activate ERα and AR based on more than 4000 compounds. We used molecular docking and molecular dynamics simulations to elucidate the functional consequences and validated structure-function correlations experimentally using a time-resolved fluorescence resonance energy-transfer assay. We found that EDCs share three levels of key fragments. Primary (20 for ERα and 18 for AR) and secondary fragments (38 for ERα and 29 for AR) are responsible for the binding to receptors, and tertiary fragments determine the activity type (agonist, antagonist, or mixed). In summary, our study provides a general mechanism for the EDC function. Discovering the three levels of key fragments may drive fast screening and evaluation of potential EDCs from large sets of commercially used synthetic compounds.

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Year:  2020        PMID: 32786601     DOI: 10.1021/acs.est.0c02639

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  5 in total

Review 1.  Update on the Health Effects of Bisphenol A: Overwhelming Evidence of Harm.

Authors:  Frederick S Vom Saal; Laura N Vandenberg
Journal:  Endocrinology       Date:  2021-03-01       Impact factor: 4.736

2.  Predicting Potential Endocrine Disrupting Chemicals Binding to Estrogen Receptor α (ERα) Using a Pipeline Combining Structure-Based and Ligand-Based in Silico Methods.

Authors:  Asma Sellami; Matthieu Montes; Nathalie Lagarde
Journal:  Int J Mol Sci       Date:  2021-03-11       Impact factor: 5.923

Review 3.  Endocrine-Disrupting Effects of Bisphenol A on the Cardiovascular System: A Review.

Authors:  Maria Inês Fonseca; Margarida Lorigo; Elisa Cairrao
Journal:  J Xenobiot       Date:  2022-07-13

Review 4.  Review of in silico studies dedicated to the nuclear receptor family: Therapeutic prospects and toxicological concerns.

Authors:  Asma Sellami; Manon Réau; Matthieu Montes; Nathalie Lagarde
Journal:  Front Endocrinol (Lausanne)       Date:  2022-09-13       Impact factor: 6.055

5.  Deep Learning Models for Predicting Gas Adsorption Capacity of Nanomaterials.

Authors:  Wenjing Guo; Jie Liu; Fan Dong; Ru Chen; Jayanti Das; Weigong Ge; Xiaoming Xu; Huixiao Hong
Journal:  Nanomaterials (Basel)       Date:  2022-09-27       Impact factor: 5.719

  5 in total

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