Information Exploration System for Sickle Cell Disease and Repurposing of Hydroxyfasudil

Handle URI:
http://hdl.handle.net/10754/325316
Title:
Information Exploration System for Sickle Cell Disease and Repurposing of Hydroxyfasudil
Authors:
Essack, Magbubah ( 0000-0003-2709-5356 ) ; Radovanovic, Aleksandar; Bajic, Vladimir B. ( 0000-0001-5435-4750 )
Abstract:
Background:Sickle cell disease (SCD) is a fatal monogenic disorder with no effective cure and thus high rates of morbidity and sequelae. Efforts toward discovery of disease modifying drugs and curative strategies can be augmented by leveraging the plethora of information contained in available biomedical literature. To facilitate research in this direction we have developed a resource, Dragon Exploration System for Sickle Cell Disease (DESSCD) (http://cbrc.kaust.edu.sa/desscd/) that aims to promote the easy exploration of SCD-related data.Description:The Dragon Exploration System (DES), developed based on text mining and complemented by data mining, processed 419,612 MEDLINE abstracts retrieved from a PubMed query using SCD-related keywords. The processed SCD-related data has been made available via the DESSCD web query interface that enables: a/information retrieval using specified concepts, keywords and phrases, and b/the generation of inferred association networks and hypotheses. The usefulness of the system is demonstrated by: a/reproducing a known scientific fact, the "Sickle_Cell_Anemia-Hydroxyurea" association, and b/generating novel and plausible "Sickle_Cell_Anemia-Hydroxyfasudil" hypothesis. A PCT patent (PCT/US12/55042) has been filed for the latter drug repurposing for SCD treatment.Conclusion:We developed the DESSCD resource dedicated to exploration of text-mined and data-mined information about SCD. No similar SCD-related resource exists. Thus, we anticipate that DESSCD will serve as a valuable tool for physicians and researchers interested in SCD. © 2013 Essack et al.
KAUST Department:
Computational Bioscience Research Center (CBRC); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Essack M, Radovanovic A, Bajic VB (2013) Information Exploration System for Sickle Cell Disease and Repurposing of Hydroxyfasudil. PLoS ONE 8: e65190. doi:10.1371/journal.pone.0065190.
Publisher:
Public Library of Science (PLoS)
Journal:
PLoS ONE
Issue Date:
10-Jun-2013
DOI:
10.1371/journal.pone.0065190
PubMed ID:
23762313
PubMed Central ID:
PMC3677893
Type:
Article
ISSN:
19326203
Appears in Collections:
Articles; Computational Bioscience Research Center (CBRC); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorEssack, Magbubahen
dc.contributor.authorRadovanovic, Aleksandaren
dc.contributor.authorBajic, Vladimir B.en
dc.date.accessioned2014-08-27T09:46:36Zen
dc.date.available2014-08-27T09:46:36Zen
dc.date.issued2013-06-10en
dc.identifier.citationEssack M, Radovanovic A, Bajic VB (2013) Information Exploration System for Sickle Cell Disease and Repurposing of Hydroxyfasudil. PLoS ONE 8: e65190. doi:10.1371/journal.pone.0065190.en
dc.identifier.issn19326203en
dc.identifier.pmid23762313en
dc.identifier.doi10.1371/journal.pone.0065190en
dc.identifier.urihttp://hdl.handle.net/10754/325316en
dc.description.abstractBackground:Sickle cell disease (SCD) is a fatal monogenic disorder with no effective cure and thus high rates of morbidity and sequelae. Efforts toward discovery of disease modifying drugs and curative strategies can be augmented by leveraging the plethora of information contained in available biomedical literature. To facilitate research in this direction we have developed a resource, Dragon Exploration System for Sickle Cell Disease (DESSCD) (http://cbrc.kaust.edu.sa/desscd/) that aims to promote the easy exploration of SCD-related data.Description:The Dragon Exploration System (DES), developed based on text mining and complemented by data mining, processed 419,612 MEDLINE abstracts retrieved from a PubMed query using SCD-related keywords. The processed SCD-related data has been made available via the DESSCD web query interface that enables: a/information retrieval using specified concepts, keywords and phrases, and b/the generation of inferred association networks and hypotheses. The usefulness of the system is demonstrated by: a/reproducing a known scientific fact, the "Sickle_Cell_Anemia-Hydroxyurea" association, and b/generating novel and plausible "Sickle_Cell_Anemia-Hydroxyfasudil" hypothesis. A PCT patent (PCT/US12/55042) has been filed for the latter drug repurposing for SCD treatment.Conclusion:We developed the DESSCD resource dedicated to exploration of text-mined and data-mined information about SCD. No similar SCD-related resource exists. Thus, we anticipate that DESSCD will serve as a valuable tool for physicians and researchers interested in SCD. © 2013 Essack et al.en
dc.language.isoenen
dc.publisherPublic Library of Science (PLoS)en
dc.rightsThis is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en
dc.rightsArchived with thanks to PLoS ONEen
dc.subjecthydroxyfasudilen
dc.subjecthydroxyureaen
dc.subjectcomputer interfaceen
dc.subjectdata miningen
dc.subjectdata processingen
dc.subjectdisease associationen
dc.subjectdrug developmenten
dc.subjectinformation processingen
dc.subjectinformation retrievalen
dc.subjectinformation serviceen
dc.subjectmedical literatureen
dc.subjectonline systemen
dc.subjectpatenten
dc.subjectsickle cell anemiaen
dc.subject1-(5-Isoquinolinesulfonyl)-2-Methylpiperazineen
dc.subjectAnemia, Sickle Cellen
dc.subjectAntisickling Agentsen
dc.subjectData Miningen
dc.subjectDatabases, Geneticen
dc.subjectHydroxyureaen
dc.subjectInformation Storage and Retrievalen
dc.subjectPubMeden
dc.subjectSoftwareen
dc.titleInformation Exploration System for Sickle Cell Disease and Repurposing of Hydroxyfasudilen
dc.typeArticleen
dc.contributor.departmentComputational Bioscience Research Center (CBRC)en
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journalPLoS ONEen
dc.identifier.pmcidPMC3677893en
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.institutionUnidad Académica de Sistemas Arrecifales (Puerto Morelos), Instituto de Ciencias Del Mar y Limnología, Universidad Nacional Autõnoma de México, Puerto Morelos, QR 77580, Mexicoen
dc.contributor.institutionSchool of Natural Sciences, University of California Merced, 5200 North Lake Road, Merced, CA 95343, United Statesen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorEssack, Magbubahen
kaust.authorRadovanovic, Aleksandaren
kaust.authorBajic, Vladimir B.en

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