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DDPC: Dragon Database of Genes associated with Prostate Cancer

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 P...

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Autores principales: Maqungo, Monique, Kaur, Mandeep, Kwofie, Samuel K., Radovanovic, Aleksandar, Schaefer, Ulf, Schmeier, Sebastian, Oppon, Ekow, Christoffels, Alan, Bajic, Vladimir B.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013759/
https://www.ncbi.nlm.nih.gov/pubmed/20880996
http://dx.doi.org/10.1093/nar/gkq849
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author Maqungo, Monique
Kaur, Mandeep
Kwofie, Samuel K.
Radovanovic, Aleksandar
Schaefer, Ulf
Schmeier, Sebastian
Oppon, Ekow
Christoffels, Alan
Bajic, Vladimir B.
author_facet Maqungo, Monique
Kaur, Mandeep
Kwofie, Samuel K.
Radovanovic, Aleksandar
Schaefer, Ulf
Schmeier, Sebastian
Oppon, Ekow
Christoffels, Alan
Bajic, Vladimir B.
author_sort Maqungo, Monique
collection PubMed
description 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/.
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spelling pubmed-30137592011-01-03 DDPC: Dragon Database of Genes associated with Prostate Cancer Maqungo, Monique Kaur, Mandeep Kwofie, Samuel K. Radovanovic, Aleksandar Schaefer, Ulf Schmeier, Sebastian Oppon, Ekow Christoffels, Alan Bajic, Vladimir B. Nucleic Acids Res Articles 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/. Oxford University Press 2011-01 2010-09-29 /pmc/articles/PMC3013759/ /pubmed/20880996 http://dx.doi.org/10.1093/nar/gkq849 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 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.
spellingShingle Articles
Maqungo, Monique
Kaur, Mandeep
Kwofie, Samuel K.
Radovanovic, Aleksandar
Schaefer, Ulf
Schmeier, Sebastian
Oppon, Ekow
Christoffels, Alan
Bajic, Vladimir B.
DDPC: Dragon Database of Genes associated with Prostate Cancer
title DDPC: Dragon Database of Genes associated with Prostate Cancer
title_full DDPC: Dragon Database of Genes associated with Prostate Cancer
title_fullStr DDPC: Dragon Database of Genes associated with Prostate Cancer
title_full_unstemmed DDPC: Dragon Database of Genes associated with Prostate Cancer
title_short DDPC: Dragon Database of Genes associated with Prostate Cancer
title_sort ddpc: dragon database of genes associated with prostate cancer
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013759/
https://www.ncbi.nlm.nih.gov/pubmed/20880996
http://dx.doi.org/10.1093/nar/gkq849
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