Mining drug-target and drug-adverse drug reaction databases to identify target-adverse drug reaction relationships.
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ABSTRACT: The level of attrition on drug discovery, particularly at advanced stages, is very high due to unexpected adverse drug reactions (ADRs) caused by drug candidates, and thus, being able to predict undesirable responses when modulating certain protein targets would contribute to the development of safer drugs and have important economic implications. On the one hand, there are a number of databases that compile information of drug-target interactions. On the other hand, there are a number of public resources that compile information on drugs and ADR. It is therefore possible to link target and ADRs using drug entities as connecting elements. Here, we present T-ARDIS (Target-Adverse Reaction Database Integrated Search) database, a resource that provides comprehensive information on proteins an
SUBMITTER: Galletti C
PROVIDER: S-EPMC8533369 | biostudies-literature | 2021 Oct
REPOSITORIES: biostudies-literature
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