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# Prediction of Metabolic Transformations using Cross Venn-ABERS Predictors

*Proceedings of the Sixth Workshop on Conformal and Probabilistic Prediction and Applications*, PMLR 60:118-131, 2017.

#### Abstract

Prediction of drug metabolism is an important topic in the drug discovery process,
and we here present a study using probabilistic predictions applying Cross Venn-ABERS Predictors (CVAPs) on data for site-of-metabolism.
We used a dataset of 73599 biotransformations, applied SMIRKS to define biotransformations of interest and constructed five datasets
where chemical structures were represented using signatures descriptors.
The results show that CVAP produces well-calibrated predictions for all datasets with good predictive capability,
making CVAP an interesting method for further exploration in drug discovery applications.