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 Citations (Scopus)

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/.

Original languageEnglish
Pages (from-to)D980-D985
JournalNucleic Acids Research
Volume39
Issue numberSUPPL. 1
DOIs
Publication statusPublished - Jan 2011
Externally publishedYes

Bibliographical note

Funding Information:
The National Research Foundation of South Africa (to M.M.); The National Bioinformatics Network grants (partial); Centre for Disease Control (to E.O.), Atlanta, Georgia, US Government; The National Research Chair grant (to A.C.); S.K.K. was partially supported by the grants from the National Bioinformatics Network (61070 to V.B.B.), DST/NRF Research Chair (64751 to V.B.B.) and National Research Foundation (62302 to V.B.B.); While in South Africa A.R., U.S. and V.B.B. were partially supported by the grants from the National Bioinformatics Network (61070 to V.B.B.), DST/NRF Research Chair (64751 to V.B.B.) and National Research Foundation (62302 to V.B.B.); M.K. has been supported by a postdoctoral fellowship from the Claude Leon Foundation, South Africa. Funding for open access charge: V.B. KAUST research funds.

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