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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.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.issn 1758-0463
dc.identifier.uri http://hdl.handle.net/10230/52635
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.language.iso eng
dc.publisher Oxford University Press
dc.relation.ispartof Database (Oxford). 2021 Oct 20;2021:baab068
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.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.identifier.doi http://dx.doi.org/10.1093/database/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.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion


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