Publication:
Transcriptomic-Guided Drug Repositioning Supported by a New Bioinformatics Search Tool: geneXpharma

Simple item page
dc.contributor.authorTURANLI, BESTE
dc.contributor.authorsTuranli, Beste; Gulfidan, Gizem; Arga, Kazim Yalcin
dc.date.accessioned2022-03-12T20:32:10Z
dc.date.available2022-03-12T20:32:10Z
dc.date.issued2017
dc.description.abstractDrug repositioning is an innovative approach to identify new therapeutic indications for existing drugs. Drug repositioning offers the promise of reducing drug development timeframes and costs, and because it involves drugs that are already in the clinic, it might remedy some of the drug safety challenges traditionally associated with drug candidates that are not yet available in the clinic. The gene-by-drug interactions are an important dimension of optimal drug repositioning and development strategies. While gene-by-drug interactions have been curated and presented in various databases, novel bioinformatics tools and approaches are timely, and required with a specific focus to support drug positioning. We report, in this study, the design of a public web-accessible transcriptomic-/gene expression-guided pharmaceuticals search tool, geneXpharma (www.genexpharma.org). GeneXpharma is a public platform with user-centric interface that provides statistically evaluated gene expressions and their drug interactions for 48 diseases under seven different disease categories. GeneXpharma is designed and organized to generate hypotheses on druggable genome within the disease-gene-drug triad and thus, help repositioning of drugs against diseases. The search system accommodates various entry points using drugs, genes, or diseases, which then enable researchers to extract drug repurposing candidates and readily export for further evaluation. Future developments aim to improve the geneXpharma algorithm, enrich its content, and enhance the website interface through addition of network visualizations and graphical display items. Bioinformatics search tools can help enable the convergence of drug repositioning and gene-by-drug interactions so as to further optimize drug development efforts in the future.
dc.identifier.doi10.1089/omi.2017.0127
dc.identifier.eissn1557-8100
dc.identifier.issn1536-2310
dc.identifier.pubmed29049014
dc.identifier.urihttps://hdl.handle.net/11424/234368
dc.identifier.wosWOS:000413279200003
dc.language.isoeng
dc.publisherMARY ANN LIEBERT, INC
dc.relation.ispartofOMICS-A JOURNAL OF INTEGRATIVE BIOLOGY
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectsystems biomedicine
dc.subjecttranscriptomics
dc.subjectdrug repositioning
dc.subjectgene-by-drug interactions
dc.subjectpharmacogenomics
dc.subjectMIFEPRISTONE RU486
dc.subjectSIGNATURES
dc.subjectDISCOVERY
dc.subjectTARGETS
dc.subjectCANCER
dc.titleTranscriptomic-Guided Drug Repositioning Supported by a New Bioinformatics Search Tool: geneXpharma
dc.typearticle
dspace.entity.typePublication
local.avesis.id6ccdff43-e8a5-4949-aced-9138ef4e40f4
local.import.packageSS17
local.indexed.atWOS
local.indexed.atSCOPUS
local.indexed.atPUBMED
local.journal.numberofpages8
local.journal.quartileQ2
oaire.citation.endPage591
oaire.citation.issue10
oaire.citation.startPage584
oaire.citation.titleOMICS-A JOURNAL OF INTEGRATIVE BIOLOGY
oaire.citation.volume21
relation.isAuthorOfPublication3e8c4f64-93ae-4b42-953c-35c8b07586b3
relation.isAuthorOfPublication.latestForDiscovery3e8c4f64-93ae-4b42-953c-35c8b07586b3

Files

Collections

Research Outputs