Publications and Presentations

ADMET Property Prediction: The State of the Art and Current Challenges

This article explores ADMET property prediction by QSAR methods. Property prediction is one of the key uses of our StarDrop suite of integrated software. Discover modules such as ADME QSAR, Auto-Modeller and P450 to find out more about how StarDrop supports ADMET property prediction.

Summary

This article discusses Quantitative Structure – Activity Relationships (QSAR) methods to predict Absorption, Distribution, Metabolism, Excretion and Toxicity (ADMET) properties.

It covers statistical modelling techniques, molecular descriptors and data sets used for model building, alongside the application of predictive ADMET models in drug discovery, and challenges faced.

Citation details

J. M. Gola, O. Obrezanova, E. Champness, M. D. Segall, QSAR Comb. Sci., 2006, 25(12), pp. 1172 – 1180
DOI: 10.1002/qsar.200610093

Find out more

Visit the journal webpage to read the final peer-reviewed version of this article.

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