SNIC SUPR
Probabilistic Metabolic predictions
Dnr:

SNIC 2018/8-338

Type:

SNIC Small Compute

Principal Investigator:

Staffan Arvidsson

Affiliation:

Uppsala universitet

Start Date:

2018-11-12

End Date:

2020-12-01

Primary Classification:

10203: Bioinformatics (Computational Biology) (applications to be 10610)

Webpage:

Allocation

Abstract

Predicting metabolic transformations of drug compounds in the body is important in the field of drug discovery process. In this study, we aim to build probabilistic predictive models doing just this and to publish the generated models as microservices for researchers to use. The probabilistic modeling is done using Cross Venn-ABERS predictors.