Network analytics for drug repurposing in COVID-19

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dc.contributor.authorSiminea Nicoleta
dc.contributor.authorPopescu Victor
dc.contributor.authorSanchez Martin Jose Angel
dc.contributor.authorFlorea Daniela
dc.contributor.authorGavril Georgiana
dc.contributor.authorGheorghe Ana-Maria
dc.contributor.authorIţcuş Corina
dc.contributor.authorKanhaiya Krishna
dc.contributor.authorPacioglu Octavian
dc.contributor.authorPopa Laura Iona
dc.contributor.authorTrandafir Romica
dc.contributor.authorTusa Maria Iris
dc.contributor.authorSidoroff Manuela
dc.contributor.authorPăun Mihaela
dc.contributor.authorCzeizler Eugen
dc.contributor.authorPăun Andrei
dc.contributor.authorPetre Ion
dc.contributor.organizationfi=matematiikka|en=Mathematics|
dc.contributor.organization-code1.2.246.10.2458963.20.41687507875
dc.converis.publication-id68081593
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/68081593
dc.date.accessioned2022-10-28T13:46:44Z
dc.date.available2022-10-28T13:46:44Z
dc.description.abstract<p>To better understand the potential of drug repurposing in COVID-19, we analyzed control strategies over essential host factors for SARS-CoV-2 infection. We constructed comprehensive directed protein–protein interaction (PPI) networks integrating the top-ranked host factors, the drug target proteins and directed PPI data. We analyzed the networks to identify drug targets and combinations thereof that offer efficient control over the host factors. We validated our findings against clinical studies data and bioinformatics studies. Our method offers a new insight into the molecular details of the disease and into potentially new therapy targets for it. Our approach for drug repurposing is significant beyond COVID-19 and may be applied also to other diseases.<br></p>
dc.format.pagerange1
dc.format.pagerange13
dc.identifier.eissn1477-4054
dc.identifier.jour-issn1467-5463
dc.identifier.olddbid184254
dc.identifier.oldhandle10024/167348
dc.identifier.urihttps://www.utupub.fi/handle/11111/41721
dc.identifier.urlhttps://doi.org/10.1093/bib/bbab490
dc.identifier.urnURN:NBN:fi-fe2022012710919
dc.language.isoen
dc.okm.affiliatedauthorPetre, Ion
dc.okm.discipline111 Mathematicsen_GB
dc.okm.discipline113 Computer and information sciencesen_GB
dc.okm.discipline111 Matematiikkafi_FI
dc.okm.discipline113 Tietojenkäsittely ja informaatiotieteetfi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherOxford University Press
dc.publisher.countryUnited Kingdomen_GB
dc.publisher.countryBritanniafi_FI
dc.publisher.country-codeGB
dc.relation.articlenumberbbab490
dc.relation.doi10.1093/bib/bbab490
dc.relation.ispartofjournalBriefings in Bioinformatics
dc.relation.issue1
dc.relation.volume23
dc.source.identifierhttps://www.utupub.fi/handle/10024/167348
dc.titleNetwork analytics for drug repurposing in COVID-19
dc.year.issued2022

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