Polarizable Models for Selected Endocrine Disrupting Chemicals and Their Hosts

Steroid hormones like estradiol and progesterone bind to nuclear hormone receptors and regulate gene transcription. They compete with pollutants and Endocrine Distrupting Chemicals (EDCs) like bisphenol A. When administered as medication, estradiol and progesterone are themselves considered EDCs. To allow modeling studies, parameters for the polarizable AMOEBA force field were derived here for these three molecules, along with the host molecule cyclodextrin and two phosphorylated forms of p-cresol and tyrosine. Indeed, phosphorylation of an estrogen receptor tyrosine regulates estradiol action. AMOEBA-optimized molecular structures were in good agreement with quantum mechanics, and interaction energies with water or ammonium were well-reproduced. Molecular dynamics simulations of crystal structures showed improved agreement with experiment over an additive force field; the mean relative error for unit cell volumes was reduced by more than two. A short MD simulation of the estradiol-estrogen receptor complex was done as a proof of principle and was structurally stable. Although additional simulations are desirable, the developed parameters should already be useful for studying hormone and EDC interactions with their hosts.

Authors

Institutions

Publication Details

Journal
Journal of Computational Biophysics and Chemistry
Published
2025-10-17
DOI
https://doi.org/10.1142/s273741652640003x
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Polarizable Models for Selected Endocrine Disrupting Chemicals and Their Hosts

Carine Clavaguéra, Thomas Simonson, Jean‐Philip Piquemal, Łukasz Szeleszczuk et al.
Journal of Computational Biophysics and Chemistry
Advanced Chemical Sensor Technologies
article

Polarizable Models for Selected Endocrine Disrupting Chemicals and Their Hosts

Carine Clavaguéra, Thomas Simonson, Jean‐Philip Piquemal, Łukasz Szeleszczuk, Anna Mazurek, Valentin Thirion
article en

Abstract

Steroid hormones like estradiol and progesterone bind to nuclear hormone receptors and regulate gene transcription. They compete with pollutants and Endocrine Distrupting Chemicals (EDCs) like bisphenol A. When administered as medication, estradiol and progesterone are themselves considered EDCs. To allow modeling studies, parameters for the polarizable AMOEBA force field were derived here for these three molecules, along with the host molecule cyclodextrin and two phosphorylated forms of p-cresol and tyrosine. Indeed, phosphorylation of an estrogen receptor tyrosine regulates estradiol action. AMOEBA-optimized molecular structures were in good agreement with quantum mechanics, and interaction energies with water or ammonium were well-reproduced. Molecular dynamics simulations of crystal structures showed improved agreement with experiment over an additive force field; the mean relative error for unit cell volumes was reduced by more than two. A short MD simulation of the estradiol-estrogen receptor complex was done as a proof of principle and was structurally stable. Although additional simulations are desirable, the developed parameters should already be useful for studying hormone and EDC interactions with their hosts.

Journal of Computational Biophysics and ChemistryVol. 25(12)
Centre National de la Recherche Scientifique (FR), École Polytechnique (FR), Medical University of Warsaw (PL), Université Paris-Saclay (FR), Sorbonne Université (FR), Laboratoire de Chimie Théorique (FR), Laboratoire de Chimie Physique (FR), Institut de Chimie (FR), University of Warsaw (PL)
Openalex Percentile: Top 72%
Advanced Chemical Sensor Technologies
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.