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ChemProt: a disease chemical biology database

Systems pharmacology is an emergent area that studies drug action across multiple scales of complexity, from molecular and cellular to tissue and organism levels. There is a critical need to develop network-based approaches to integrate the growing body of chemical biology knowledge with network bio...

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Autores principales: Taboureau, Olivier, Nielsen, Sonny Kim, Audouze, Karine, Weinhold, Nils, Edsgärd, Daniel, Roque, Francisco S., Kouskoumvekaki, Irene, Bora, Alina, Curpan, Ramona, Jensen, Thomas Skøt, Brunak, Søren, Oprea, Tudor I.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013776/
https://www.ncbi.nlm.nih.gov/pubmed/20935044
http://dx.doi.org/10.1093/nar/gkq906
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author Taboureau, Olivier
Nielsen, Sonny Kim
Audouze, Karine
Weinhold, Nils
Edsgärd, Daniel
Roque, Francisco S.
Kouskoumvekaki, Irene
Bora, Alina
Curpan, Ramona
Jensen, Thomas Skøt
Brunak, Søren
Oprea, Tudor I.
author_facet Taboureau, Olivier
Nielsen, Sonny Kim
Audouze, Karine
Weinhold, Nils
Edsgärd, Daniel
Roque, Francisco S.
Kouskoumvekaki, Irene
Bora, Alina
Curpan, Ramona
Jensen, Thomas Skøt
Brunak, Søren
Oprea, Tudor I.
author_sort Taboureau, Olivier
collection PubMed
description Systems pharmacology is an emergent area that studies drug action across multiple scales of complexity, from molecular and cellular to tissue and organism levels. There is a critical need to develop network-based approaches to integrate the growing body of chemical biology knowledge with network biology. Here, we report ChemProt, a disease chemical biology database, which is based on a compilation of multiple chemical–protein annotation resources, as well as disease-associated protein–protein interactions (PPIs). We assembled more than 700 000 unique chemicals with biological annotation for 30 578 proteins. We gathered over 2-million chemical–protein interactions, which were integrated in a quality scored human PPI network of 428 429 interactions. The PPI network layer allows for studying disease and tissue specificity through each protein complex. ChemProt can assist in the in silico evaluation of environmental chemicals, natural products and approved drugs, as well as the selection of new compounds based on their activity profile against most known biological targets, including those related to adverse drug events. Results from the disease chemical biology database associate citalopram, an antidepressant, with osteogenesis imperfect and leukemia and bisphenol A, an endocrine disruptor, with certain types of cancer, respectively. The server can be accessed at http://www.cbs.dtu.dk/services/ChemProt/.
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spelling pubmed-30137762011-01-03 ChemProt: a disease chemical biology database Taboureau, Olivier Nielsen, Sonny Kim Audouze, Karine Weinhold, Nils Edsgärd, Daniel Roque, Francisco S. Kouskoumvekaki, Irene Bora, Alina Curpan, Ramona Jensen, Thomas Skøt Brunak, Søren Oprea, Tudor I. Nucleic Acids Res Articles Systems pharmacology is an emergent area that studies drug action across multiple scales of complexity, from molecular and cellular to tissue and organism levels. There is a critical need to develop network-based approaches to integrate the growing body of chemical biology knowledge with network biology. Here, we report ChemProt, a disease chemical biology database, which is based on a compilation of multiple chemical–protein annotation resources, as well as disease-associated protein–protein interactions (PPIs). We assembled more than 700 000 unique chemicals with biological annotation for 30 578 proteins. We gathered over 2-million chemical–protein interactions, which were integrated in a quality scored human PPI network of 428 429 interactions. The PPI network layer allows for studying disease and tissue specificity through each protein complex. ChemProt can assist in the in silico evaluation of environmental chemicals, natural products and approved drugs, as well as the selection of new compounds based on their activity profile against most known biological targets, including those related to adverse drug events. Results from the disease chemical biology database associate citalopram, an antidepressant, with osteogenesis imperfect and leukemia and bisphenol A, an endocrine disruptor, with certain types of cancer, respectively. The server can be accessed at http://www.cbs.dtu.dk/services/ChemProt/. Oxford University Press 2011-01 2010-10-08 /pmc/articles/PMC3013776/ /pubmed/20935044 http://dx.doi.org/10.1093/nar/gkq906 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
Taboureau, Olivier
Nielsen, Sonny Kim
Audouze, Karine
Weinhold, Nils
Edsgärd, Daniel
Roque, Francisco S.
Kouskoumvekaki, Irene
Bora, Alina
Curpan, Ramona
Jensen, Thomas Skøt
Brunak, Søren
Oprea, Tudor I.
ChemProt: a disease chemical biology database
title ChemProt: a disease chemical biology database
title_full ChemProt: a disease chemical biology database
title_fullStr ChemProt: a disease chemical biology database
title_full_unstemmed ChemProt: a disease chemical biology database
title_short ChemProt: a disease chemical biology database
title_sort chemprot: a disease chemical biology database
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013776/
https://www.ncbi.nlm.nih.gov/pubmed/20935044
http://dx.doi.org/10.1093/nar/gkq906
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