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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2011
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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/. |
format | Text |
id | pubmed-3013776 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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