In Silico Prediction of Chemicals Binding to Aromatase with Machine Learning Methods

Volume: 30, Issue: 5, Pages: 1209 - 1218
Published: Apr 26, 2017
Abstract
Environmental chemicals may affect endocrine systems through multiple mechanisms, one of which is via effects on aromatase (also known as CYP19A1), an enzyme critical for maintaining the normal balance of estrogens and androgens in the body. Therefore, rapid and efficient identification of aromatase-related endocrine disrupting chemicals (EDCs) is important for toxicology and environment risk assessment. In this study, on the basis of the Tox21...
Paper Details
Title
In Silico Prediction of Chemicals Binding to Aromatase with Machine Learning Methods
Published Date
Apr 26, 2017
Volume
30
Issue
5
Pages
1209 - 1218
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