DILIrank: the largest reference drug list ranked by the risk for developing drug-induced liver injury in humans
•DILIrank contains the largest number of drugs (N=1036) ranked by their risk for causing DILI.•The existing drug labeling-based DILI annotation was enhanced by weighing evidence of causality.•Drugs were classified as verified vMost-, vLess-, vNo-DILI-concern, leaving out terminology ‘Ambiguous DILI-...
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Published in | Drug discovery today Vol. 21; no. 4; pp. 648 - 653 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Elsevier Ltd
01.04.2016
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Subjects | |
Online Access | Get full text |
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Summary: | •DILIrank contains the largest number of drugs (N=1036) ranked by their risk for causing DILI.•The existing drug labeling-based DILI annotation was enhanced by weighing evidence of causality.•Drugs were classified as verified vMost-, vLess-, vNo-DILI-concern, leaving out terminology ‘Ambiguous DILI-concern’ drugs.•DILIrank is invaluable for the development of predictive models using emerging technologies.
High-throughput methods are powerful tools to develop predictive models for assessing drug-induced liver injury (DILI). However, the development of predictive models requires a drug reference list with an accurate annotation of DILI risk in humans. We previously developed a DILI annotation schema based on information curated from the US Food and Drug Administration (FDA)-approved drug labeling for 287 drugs. In this article, we refine the schema by weighing the evidence of causality (i.e., a verification process to evaluate a drug as the cause of DILI) and generate a data set that ranks the DILI risk (DILIrank) in humans for 1036 FDA-approved drugs, providing the largest annotated data set of such drugs in the public domain. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 ObjectType-Review-3 content type line 23 |
ISSN: | 1359-6446 1878-5832 1878-5832 |
DOI: | 10.1016/j.drudis.2016.02.015 |