A survey on computational methods used for drug repositioning

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dc.contributor.authorAbushaaban, Eslam
dc.contributor.authorAlhajj, Reda
dc.date.accessioned2026-04-09T13:50:12Z
dc.date.available2026-04-09T13:50:12Z
dc.date.issued2025
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description.abstractDrug repositioning offers a promising route to increase the efficacy and streamline the development of pharmaceutical treatments. With the high costs and extensive time frames associated with traditional drug development pathways, computational approaches have risen as pivotal alternatives. This paper surveys the latest network-based methodologies in computational drug repositioning, focusing on network analysis, machine learning, and deep learning methods. By examining the predictive accuracies of various methods across consistent datasets, we present a comparative analysis that reveals the strengths and potential of each category. Our findings highlight the evolution of computational strategies, emphasized by the growing complexity and predictive capabilities of recent models, especially those leveraging deep learning frameworks
dc.identifier.citationAbushaaban, E. ve Alhajj, R. (2025). A survey on computational methods used for drug repositioning. Network Modeling Analysis in Health Informatics and Bioinformatics, 14(1). http://dx.doi.org/10.1007/s13721-025-00502-8
dc.identifier.doi10.1007/s13721-025-00502-8
dc.identifier.issn2192-6662
dc.identifier.issn2192-6670
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85217505216
dc.identifier.scopusqualityQ1
dc.identifier.urihttp://dx.doi.org/10.1007/s13721-025-00502-8
dc.identifier.urihttps://hdl.handle.net/20.500.12511/13410
dc.identifier.volume14
dc.identifier.wosWOS:001396202000001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorAbushaaban, Eslam
dc.institutionauthorAlhajj, Reda
dc.institutionauthorid0000-0001-6657-9738
dc.language.isoen
dc.relation.ispartofNetwork Modeling Analysis in Health Informatics and Bioinformatics
dc.relation.publicationcategoryDiğer
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectClassification
dc.subjectData Imbalance
dc.subjectDeep Learning
dc.subjectDrug Repositioning
dc.subjectHealth Care
dc.subjectMachine Learning
dc.titleA survey on computational methods used for drug repositioning
dc.typeOther

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