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Bioinformatics
Article . 2009 . Peer-reviewed
Data sources: Crossref
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Bioinformatics
Article
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Bioinformatics
Article . 2010
DBLP
Article . 2010
Data sources: DBLP
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DCDB: Drug combination database

Authors: Yanbin Liu; Bin Hu; Chengxin Fu; Xin Chen;

DCDB: Drug combination database

Abstract

Abstract Summary: Rapid advances in pharmaceutical sciences have brought ever-increasing interests in combined therapies for better clinical efficacy and safety, especially in cases of complicated and refractory diseases. Innovative experimental technologies and theoretical frameworks are being actively developed for multicomponent drug research. In this work, we present the Drug Combination Database, with aims to facilitate analyses of known drug combinations, to summarize patterns of beneficial drug interactions, and to provide a basis for theoretical modeling and simulation of such drug interactions. Its current version (1.0) collected 499 approved or investigational drug combinations, including 40 unsuccessful drug combinations, involving 485 individual drugs, from >6000 references. Availability: http://www.cls.zju.edu.cn/dcdb/. Contact: xinchen@zju.edu.cn Supplementary information: Supplementary data are available at the database website and Bioinformatics online.

Related Organizations
Keywords

Internet, PubMed, Databases, Factual, Drug Industry, United States Food and Drug Administration, Computational Biology, United States, Drug Combinations, Drug Design

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
84
Top 10%
Top 10%
Top 10%
gold