Integration of human cell lines gene expression and chemical properties of drugs for Drug Induced Liver Injury prediction.

Journal: Biology direct

Published Date: Jan 9, 2021

Abstract

MOTIVATION: Drug-induced liver injury (DILI) is one of the primary problems in drug development. Early prediction of DILI can bring a significant reduction in the cost of clinical trials. In this work we examined whether occurrence of DILI can be predicted using gene expression profile in cancer cell lines and chemical properties of drugs.

Authors

Wojciech Lesiński

Institute of Computer Science, University of Bialystok, Białystok, Poland.
Krzysztof Mnich

Computational Centre, University of Bialystok, Białystok, Poland.
Agnieszka Kitlas Golińska

Institute of Computer Science, University of Bialystok, Białystok, Poland.
Witold R Rudnicki

Institute of Computer Science, University of Bialystok, Białystok, Poland; Computational Centre, University of Bialystok, Białystok, Poland; Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw, Warsaw, Poland.

Keywords

Algorithms Cell Line Chemical and Drug Induced Liver Injury Drug Discovery Humans Machine Learning Risk Assessment Transcriptome

External Resources

View on PubMed Access via DOI PubMed (33422118)

Integration of human cell lines gene expression and chemical properties of drugs for Drug Induced Liver Injury prediction.

Abstract

Authors

Keywords

External Resources

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