DDPC: Dragon database of genes associated with prostate cancer

Handle URI:
http://hdl.handle.net/10754/325450
Title:
DDPC: Dragon database of genes associated with prostate cancer
Authors:
Maqungo, Monique; Kaur, Mandeep; Kwofie, Samuel K.; Radovanovic, Aleksandar; Schaefer, Ulf; Schmeier, Sebastian; Oppon, Ekow; Christoffels, Alan; Bajic, Vladimir B. ( 0000-0001-5435-4750 )
Abstract:
Prostate cancer (PC) is one of the most commonly diagnosed cancers in men. PC is relatively difficult to diagnose due to a lack of clear early symptoms. Extensive research of PC has led to the availability of a large amount of data on PC. Several hundred genes are implicated in different stages of PC, which may help in developing diagnostic methods or even cures. In spite of this accumulated information, effective diagnostics and treatments remain evasive. We have developed Dragon Database of Genes associated with Prostate Cancer (DDPC) as an integrated knowledgebase of genes experimentally verified as implicated in PC. DDPC is distinctive from other databases in that (i) it provides pre-compiled biomedical text-mining information on PC, which otherwise require tedious computational analyses, (ii) it integrates data on molecular interactions, pathways, gene ontologies, gene regulation at molecular level, predicted transcription factor binding sites on promoters of PC implicated genes and transcription factors that correspond to these binding sites and (iii) it contains DrugBank data on drugs associated with PC. We believe this resource will serve as a source of useful information for research on PC. DDPC is freely accessible for academic and non-profit users via http://apps.sanbi.ac.za/ddpc/ and http://cbrc .kaust.edu.sa/ddpc/. The Author(s) 2010.
KAUST Department:
Computational Bioscience Research Center (CBRC)
Citation:
Maqungo M, Kaur M, Kwofie SK, Radovanovic A, Schaefer U, et al. (2011) DDPC: Dragon Database of Genes associated with Prostate Cancer. Nucleic Acids Research 39: D980-D985. doi:10.1093/nar/gkq849.
Publisher:
Oxford University Press
Journal:
Nucleic Acids Research
Issue Date:
29-Sep-2010
DOI:
10.1093/nar/gkq849
PubMed ID:
20880996
PubMed Central ID:
PMC3013759
Type:
Article
ISSN:
03051048
Appears in Collections:
Articles; Computational Bioscience Research Center (CBRC)

Full metadata record

DC FieldValue Language
dc.contributor.authorMaqungo, Moniqueen
dc.contributor.authorKaur, Mandeepen
dc.contributor.authorKwofie, Samuel K.en
dc.contributor.authorRadovanovic, Aleksandaren
dc.contributor.authorSchaefer, Ulfen
dc.contributor.authorSchmeier, Sebastianen
dc.contributor.authorOppon, Ekowen
dc.contributor.authorChristoffels, Alanen
dc.contributor.authorBajic, Vladimir B.en
dc.date.accessioned2014-08-27T09:51:51Z-
dc.date.available2014-08-27T09:51:51Z-
dc.date.issued2010-09-29en
dc.identifier.citationMaqungo M, Kaur M, Kwofie SK, Radovanovic A, Schaefer U, et al. (2011) DDPC: Dragon Database of Genes associated with Prostate Cancer. Nucleic Acids Research 39: D980-D985. doi:10.1093/nar/gkq849.en
dc.identifier.issn03051048en
dc.identifier.pmid20880996en
dc.identifier.doi10.1093/nar/gkq849en
dc.identifier.urihttp://hdl.handle.net/10754/325450en
dc.description.abstractProstate cancer (PC) is one of the most commonly diagnosed cancers in men. PC is relatively difficult to diagnose due to a lack of clear early symptoms. Extensive research of PC has led to the availability of a large amount of data on PC. Several hundred genes are implicated in different stages of PC, which may help in developing diagnostic methods or even cures. In spite of this accumulated information, effective diagnostics and treatments remain evasive. We have developed Dragon Database of Genes associated with Prostate Cancer (DDPC) as an integrated knowledgebase of genes experimentally verified as implicated in PC. DDPC is distinctive from other databases in that (i) it provides pre-compiled biomedical text-mining information on PC, which otherwise require tedious computational analyses, (ii) it integrates data on molecular interactions, pathways, gene ontologies, gene regulation at molecular level, predicted transcription factor binding sites on promoters of PC implicated genes and transcription factors that correspond to these binding sites and (iii) it contains DrugBank data on drugs associated with PC. We believe this resource will serve as a source of useful information for research on PC. DDPC is freely accessible for academic and non-profit users via http://apps.sanbi.ac.za/ddpc/ and http://cbrc .kaust.edu.sa/ddpc/. The Author(s) 2010.en
dc.language.isoenen
dc.publisherOxford University Pressen
dc.rightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.en
dc.rights.urihttp://creativecommons.org/licenses/by-nc/2.5en
dc.subjectprostate specific antigenen
dc.subjectantigen detectionen
dc.subjectbinding siteen
dc.subjectdata miningen
dc.subjectDragon Database of Genes associated with Prostate Cancer databaseen
dc.subjectexpressed sequence tagen
dc.subjectgene expressionen
dc.subjectgene regulatory networken
dc.subjectgenetic associationen
dc.subjectgenetic databaseen
dc.subjectinformation processingen
dc.subjectmathematical analysisen
dc.subjectmolecular dynamicsen
dc.subjectmolecular interactionen
dc.subjectpromoter regionen
dc.subjectprostate canceren
dc.subjectprotein bindingen
dc.subjectsignal transductionen
dc.subjecttranscription initiation siteen
dc.subjecttranscription regulationen
dc.subjectData Miningen
dc.subjectDatabases, Geneticen
dc.subjectGenes, Neoplasmen
dc.subjectKnowledge Basesen
dc.subjectProstatic Neoplasmsen
dc.titleDDPC: Dragon database of genes associated with prostate canceren
dc.typeArticleen
dc.contributor.departmentComputational Bioscience Research Center (CBRC)en
dc.identifier.journalNucleic Acids Researchen
dc.identifier.pmcidPMC3013759en
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.institutionSouth African National Bioinformatics Institute, University of the Western Cape, Modderdam Road, Bellville, Cape Town, South Africaen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorKaur, Mandeepen
kaust.authorRadovanovic, Aleksandaren
kaust.authorSchmeier, Sebastianen
kaust.authorBajic, Vladimir B.en
kaust.authorSchaefer, Ulfen

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