Publication
Complex graph neural networks for medication interaction verification
| dc.contributor.author | Westarb, Gustavo | |
| dc.contributor.author | Stefenon, Stefano Frizzo | |
| dc.contributor.author | Hoppe, Aurélio Faustino | |
| dc.contributor.author | Sartori, Andreza | |
| dc.contributor.author | Klaar, Anne Carolina Rodrigues | |
| dc.contributor.author | Leithardt, Valderi Reis Quietinho | |
| dc.date.accessioned | 2025-01-14T14:46:53Z | |
| dc.date.available | 2025-01-14T14:46:53Z | |
| dc.date.issued | 2023-04-06 | |
| dc.date.updated | 2023-06-26T11:13:29Z | |
| dc.description.abstract | This paper presents the development and application of graph neural networks to verify drug interactions, consisting of drug-protein networks. For this, the DrugBank databases were used, creating four complex networks of interactions: target proteins, transport proteins, carrier proteins, and enzymes. The Louvain and Girvan-Newman community detection algorithms were used to establish communities and validate the interactions between them. Positive results were obtained when checking the interactions of two sets of drugs for disease treatments: diabetes and anxiety; diabetes and antibiotics. There were found 371 interactions by the Girvan-Newman algorithm and 58 interactions via Louvain. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.doi | 10.3233/jifs-223656 | pt_PT |
| dc.identifier.issn | 1064-1246 | |
| dc.identifier.issn | 1875-8967 | |
| dc.identifier.slug | cv-prod-3273049 | |
| dc.identifier.uri | http://hdl.handle.net/10400.26/53812 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.subject | drug interaction | pt_PT |
| dc.subject | graph neural network | pt_PT |
| dc.subject | communities detection | pt_PT |
| dc.title | Complex graph neural networks for medication interaction verification | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/Concurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017%2F2018) - Financiamento Base/UIDB%2F05064%2F2020/PT | |
| oaire.citation.endPage | 13 | pt_PT |
| oaire.citation.startPage | 1 | pt_PT |
| oaire.citation.title | Journal of Intelligent & Fuzzy Systems | pt_PT |
| oaire.fundingStream | Concurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017/2018) - Financiamento Base | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.cv.cienciaid | 0614-5834-E7F3 | Valderi Reis Quietinho Leithardt | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | article | pt_PT |
| relation.isProjectOfPublication | 0cd5c3a9-59a4-47a4-a519-49e2c2c24fcd | |
| relation.isProjectOfPublication.latestForDiscovery | 0cd5c3a9-59a4-47a4-a519-49e2c2c24fcd |