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Updated: May 17, 2026

In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
Published on: August 28, 2019
QSARs, data and error in the modern age of drug discovery
Christian Kramer1, Richard Lewis
1Novartis Institutes for Bio-Medical Research, Novartis Pharma AG, Novartis Campus, Basel, Switzerland.
Abstract:
The legacy of the advances made in high-throughput screening (HTS) in the 1990's is a large source of public data from which models can be derived using QSAR methods. This paper will examine the integrity of these public data sources and the implications for model building.
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