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Updated: Aug 19, 2026

In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
Published on: August 28, 2019
QSAR treatment of drugs transfer into human breast milk
Alan R Katritzky1, Dimitar A Dobchev, Evrim Hür
1Center for Heterocyclic Compounds, Department of Chemistry, University of Florida, Gainesville, FL 32611, USA. katritzky@chem.ufl.edu
Abstract:
A satisfactory model is developed using CODESSA PRO for the correlation and prediction of milk to plasma concentration ratios (M/P ratio) for diverse pharmaceuticals. A set of experimentally derived M/P ratio values were collected from the literature for 115 widely used pharmaceuticals. The experimental logarithmic M/P ratios were tested with more than 850 theoretical molecular descriptors including constitutional, topological, geometrical, quantum chemical, thermodynamic, and electrostatic types. Based on the data set, for 100 commonly used drugs, a seven-parameter QSAR model was derived that shows a satisfactory (R(2)=0.791) correlation between predicted and observed values of log(M/P) ratio.
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