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DCDB 2.0: a major update of the drug combination database

Experience in clinical practice and research in systems pharmacology suggested the limitations of the current one-drug-one-target paradigm in new drug discovery. Single-target drugs may not always produce desired physiological effects on the entire biological system, even if they have successfully r...

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Autores principales: Liu, Yanbin, Wei, Qiang, Yu, Guisheng, Gai, Wanxia, Li, Yongquan, Chen, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4275564/
https://www.ncbi.nlm.nih.gov/pubmed/25539768
http://dx.doi.org/10.1093/database/bau124
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author Liu, Yanbin
Wei, Qiang
Yu, Guisheng
Gai, Wanxia
Li, Yongquan
Chen, Xin
author_facet Liu, Yanbin
Wei, Qiang
Yu, Guisheng
Gai, Wanxia
Li, Yongquan
Chen, Xin
author_sort Liu, Yanbin
collection PubMed
description Experience in clinical practice and research in systems pharmacology suggested the limitations of the current one-drug-one-target paradigm in new drug discovery. Single-target drugs may not always produce desired physiological effects on the entire biological system, even if they have successfully regulated the activities of their designated targets. On the other hand, multicomponent therapy, in which two or more agents simultaneously interact with multiple targets, has attracted growing attention. Many drug combinations consisting of multiple agents have already entered clinical practice, especially in treating complex and refractory diseases. Drug combination database (DCDB), launched in 2010, is the first available database that collects and organizes information on drug combinations, with an aim to facilitate systems-oriented new drug discovery. Here, we report the second major release of DCDB (Version 2.0), which includes 866 new drug combinations (1363 in total), consisting of 904 distinctive components. These drug combinations are curated from ∼140 000 clinical studies and the food and drug administration (FDA) electronic orange book. In this update, DCDB collects 237 unsuccessful drug combinations, which may provide a contrast for systematic discovery of the patterns in successful drug combinations. Database URL: http://www.cls.zju.edu.cn/dcdb/
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spelling pubmed-42755642015-01-13 DCDB 2.0: a major update of the drug combination database Liu, Yanbin Wei, Qiang Yu, Guisheng Gai, Wanxia Li, Yongquan Chen, Xin Database (Oxford) Database Update Experience in clinical practice and research in systems pharmacology suggested the limitations of the current one-drug-one-target paradigm in new drug discovery. Single-target drugs may not always produce desired physiological effects on the entire biological system, even if they have successfully regulated the activities of their designated targets. On the other hand, multicomponent therapy, in which two or more agents simultaneously interact with multiple targets, has attracted growing attention. Many drug combinations consisting of multiple agents have already entered clinical practice, especially in treating complex and refractory diseases. Drug combination database (DCDB), launched in 2010, is the first available database that collects and organizes information on drug combinations, with an aim to facilitate systems-oriented new drug discovery. Here, we report the second major release of DCDB (Version 2.0), which includes 866 new drug combinations (1363 in total), consisting of 904 distinctive components. These drug combinations are curated from ∼140 000 clinical studies and the food and drug administration (FDA) electronic orange book. In this update, DCDB collects 237 unsuccessful drug combinations, which may provide a contrast for systematic discovery of the patterns in successful drug combinations. Database URL: http://www.cls.zju.edu.cn/dcdb/ Oxford University Press 2014-12-23 /pmc/articles/PMC4275564/ /pubmed/25539768 http://dx.doi.org/10.1093/database/bau124 Text en © The Author(s) 2014. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database Update
Liu, Yanbin
Wei, Qiang
Yu, Guisheng
Gai, Wanxia
Li, Yongquan
Chen, Xin
DCDB 2.0: a major update of the drug combination database
title DCDB 2.0: a major update of the drug combination database
title_full DCDB 2.0: a major update of the drug combination database
title_fullStr DCDB 2.0: a major update of the drug combination database
title_full_unstemmed DCDB 2.0: a major update of the drug combination database
title_short DCDB 2.0: a major update of the drug combination database
title_sort dcdb 2.0: a major update of the drug combination database
topic Database Update
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4275564/
https://www.ncbi.nlm.nih.gov/pubmed/25539768
http://dx.doi.org/10.1093/database/bau124
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