DDPC: Dragon database of genes associated with prostate cancer

Monique Maqungo, Mandeep Kaur, Samuel K. Kwofie, Aleksandar Radovanovic, Ulf Schaefer, Sebastian Schmeier, Ekow Oppon, Alan Christoffels, Vladimir B. Bajic

Research output: Contribution to journalArticlepeer-review

42 Scopus citations


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.
Original languageEnglish (US)
Pages (from-to)D980-D985
Number of pages1
JournalNucleic Acids Research
Issue numberDatabase
StatePublished - Sep 29 2010

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01

ASJC Scopus subject areas

  • Genetics


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