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dc.contributor.authorMaqungo, Monique
dc.contributor.authorKaur, Mandeep
dc.contributor.authorKwofie, Samuel K.
dc.contributor.authorRadovanovic, Aleksandar
dc.contributor.authorSchaefer, Ulf
dc.contributor.authorSchmeier, Sebastian
dc.contributor.authorOppon, Ekow
dc.contributor.authorChristoffels, Alan
dc.contributor.authorBajic, Vladimir B.
dc.date.accessioned2014-08-27T09:51:51Z
dc.date.available2014-08-27T09:51:51Z
dc.date.issued2010-09-29
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.
dc.identifier.issn03051048
dc.identifier.pmid20880996
dc.identifier.doi10.1093/nar/gkq849
dc.identifier.urihttp://hdl.handle.net/10754/325450
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.
dc.language.isoen
dc.publisherOxford University Press (OUP)
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.
dc.rights.urihttp://creativecommons.org/licenses/by-nc/2.5
dc.subjectprostate specific antigen
dc.subjectantigen detection
dc.subjectbinding site
dc.subjectdata mining
dc.subjectDragon Database of Genes associated with Prostate Cancer database
dc.subjectexpressed sequence tag
dc.subjectgene expression
dc.subjectgene regulatory network
dc.subjectgenetic association
dc.subjectgenetic database
dc.subjectinformation processing
dc.subjectmathematical analysis
dc.subjectmolecular dynamics
dc.subjectmolecular interaction
dc.subjectpromoter region
dc.subjectprostate cancer
dc.subjectprotein binding
dc.subjectsignal transduction
dc.subjecttranscription initiation site
dc.subjecttranscription regulation
dc.subjectData Mining
dc.subjectDatabases, Genetic
dc.subjectGenes, Neoplasm
dc.subjectKnowledge Bases
dc.subjectProstatic Neoplasms
dc.titleDDPC: Dragon database of genes associated with prostate cancer
dc.typeArticle
dc.contributor.departmentComputational Bioscience Research Center (CBRC)
dc.contributor.departmentApplied Mathematics and Computational Science Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.identifier.journalNucleic Acids Research
dc.identifier.pmcidPMC3013759
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionSouth African National Bioinformatics Institute, University of the Western Cape, Modderdam Road, Bellville, Cape Town, South Africa
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)
kaust.personKaur, Mandeep
kaust.personRadovanovic, Aleksandar
kaust.personSchmeier, Sebastian
kaust.personBajic, Vladimir B.
kaust.personSchaefer, Ulf
refterms.dateFOA2018-06-13T15:25:37Z
dc.date.published-online2010-09-29
dc.date.published-print2011-01-01


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This 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.
Except where otherwise noted, this item's license is described as This 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.