Computational estimation of rainbow trout estrogen receptor binding affinities for environmental estrogens

Journal Article · Tue Feb 01 04:00:00 EST 2011 · Toxicology and Applied Pharmacology

DOI:https://doi.org/10.1016/j.taap.2010.11.005· OSTI ID:21535229

Shyu, Conrad ^[1]; Cavileer, Timothy D; Nagler, James J ^[2]

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1. Department of Physics, University of Idaho, Moscow, ID 83844-0903 (United States)
2. Department of Biological Sciences and Center for Reproductive Biology, University of Idaho, Moscow, ID 83844-3051 (United States)

Environmental estrogens have been the subject of intense research due to their documented detrimental effects on the health of fish and wildlife and their potential to negatively impact humans. A complete understanding of how these compounds affect health is complicated because environmental estrogens are a structurally heterogeneous group of compounds. In this work, computational molecular dynamics simulations were utilized to predict the binding affinity of different compounds using rainbow trout (Oncorhynchus mykiss) estrogen receptors (ERs) as a model. Specifically, this study presents a comparison of the binding affinity of the natural ligand estradiol-17{beta} to the four rainbow trout ER isoforms with that of three known environmental estrogens 17{alpha}-ethinylestradiol, bisphenol A, and raloxifene. Two additional compounds, atrazine and testosterone, that are known to be very weak or non-binders to ERs were tested. The binding affinity of these compounds to the human ER{alpha} subtype is also included for comparison. The results of this study suggest that, when compared to estradiol-17{beta}, bisphenol A binds less strongly to all four receptors, 17{alpha}-ethinylestradiol binds more strongly, and raloxifene has a high affinity for the {alpha} subtype only. The results also show that atrazine and testosterone are weak or non-binders to the ERs. All of the results are in excellent qualitative agreement with the known in vivo estrogenicity of these compounds in the rainbow trout and other fishes. Computational estimation of binding affinities could be a valuable tool for predicting the impact of environmental estrogens in fish and other animals.

• OSTI ID: 21535229
• Journal Information: Toxicology and Applied Pharmacology, Journal Name: Toxicology and Applied Pharmacology Journal Issue: 3 Vol. 250; ISSN TXAPA9; ISSN 0041-008X
• Country of Publication: United States
• Language: English

Related Subjects

60 APPLIED LIFE SCIENCES
AFFINITY
ANDROGENS
ANDROSTANES
ANIMALS
AQUATIC ORGANISMS
CALCULATION METHODS
ESTRADIOL
ESTRANES
ESTROGENS
FISHES
HORMONES
HUMAN POPULATIONS
HYDROXY COMPOUNDS
IN VIVO
KETONES
MEMBRANE PROTEINS
MOLECULAR DYNAMICS METHOD
ORGANIC COMPOUNDS
POPULATIONS
PROTEINS
RECEPTORS
SIMULATION
STEROID HORMONES
STEROIDS
TESTOSTERONE
TROUT
VERTEBRATES