Mining drug-target and drug-adverse drug reaction databases to identify target-adverse drug reaction relationships
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- dc.contributor.author Galletti, Cristiano
- dc.contributor.author Mirela Bota, Patricia
- dc.contributor.author Oliva Miguel, Baldomero
- dc.contributor.author Fernández Fuentes, Narcís
- dc.date.accessioned 2022-03-07T07:34:50Z
- dc.date.available 2022-03-07T07:34:50Z
- dc.date.issued 2021
- dc.description.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 and associated ADRs. By combining the information from drug-protein and drug-ADR databases, we statistically identify significant associations between proteins and ADRs. Besides describing the relationship between proteins and ADRs, T-ARDIS provides detailed description about proteins along with the drug and adverse reaction information. Currently T-ARDIS contains over 3000 ADR and 248 targets for a total of more 17 000 pairwise interactions. Each entry can be retrieved through multiple search terms including target Uniprot ID, gene name, adverse effect and drug name. Ultimately, the T-ARDIS database has been created in response to the increasing interest in identifying early in the drug development pipeline potentially problematic protein targets whose modulation could result in ADRs. Database URL: http://www.bioinsilico.org/T-ARDIS.
- dc.description.sponsorship Authors acknowledge support from MINECO grant numbers RYC2015-17519 and BIO2017-85329-R.
- dc.format.mimetype application/pdf
- dc.identifier.citation Galletti C, Bota PM, Oliva B, Fernandez-Fuentes N. Mining drug-target and drug-adverse drug reaction databases to identify target-adverse drug reaction relationships. Database (Oxford). 2021 Oct 20;2021:baab068. DOI: 10.1093/database/baab068
- dc.identifier.doi http://dx.doi.org/10.1093/database/baab068
- dc.identifier.issn 1758-0463
- dc.identifier.uri http://hdl.handle.net/10230/52635
- dc.language.iso eng
- dc.publisher Oxford University Press
- dc.relation.ispartof Database (Oxford). 2021 Oct 20;2021:baab068
- dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/RYC-2015-17519
- dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/BIO2017-85329-R
- dc.rights © The Author(s) 2021. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri https://creativecommons.org/licenses/by/4.0/
- dc.title Mining drug-target and drug-adverse drug reaction databases to identify target-adverse drug reaction relationships
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion