TY - JOUR
T1 - DDPC: Dragon database of genes associated with prostate cancer
AU - Maqungo, Monique
AU - Kaur, Mandeep
AU - Kwofie, Samuel K.
AU - Radovanovic, Aleksandar
AU - Schaefer, Ulf
AU - Schmeier, Sebastian
AU - Oppon, Ekow
AU - Christoffels, Alan
AU - Bajic, Vladimir B.
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2010/9/29
Y1 - 2010/9/29
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/325450
UR - https://academic.oup.com/nar/article-lookup/doi/10.1093/nar/gkq849
UR - http://www.scopus.com/inward/record.url?scp=78651264657&partnerID=8YFLogxK
U2 - 10.1093/nar/gkq849
DO - 10.1093/nar/gkq849
M3 - Article
C2 - 20880996
SN - 0305-1048
VL - 39
SP - D980-D985
JO - Nucleic Acids Research
JF - Nucleic Acids Research
IS - Database
ER -
