Network-Assisted Prediction of Potential Drugs for Addiction
Joint Authors
Huang, Liang-Chin
Sun, Jingchun
Zhao, Zhongming
Xu, Hua
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-09
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Drug addiction is a chronic and complex brain disease, adding much burden on the community.
Though numerous efforts have been made to identify the effective treatment, it is necessary to find more novel therapeutics for this complex disease.
As network pharmacology has become a promising approach for drug repurposing, we proposed to apply the approach to drug addiction, which might provide new clues for the development of effective addiction treatment drugs.
We first extracted 44 addictive drugs from the NIDA and their targets from DrugBank.
Then, we constructed two networks: an addictive drug-target network and an expanded addictive drug-target network by adding other drugs that have at least one common target with these addictive drugs.
By performing network analyses, we found that those addictive drugs with similar actions tended to cluster together.
Additionally, we predicted 94 nonaddictive drugs with potential pharmacological functions to the addictive drugs.
By examining the PubMed data, 51 drugs significantly cooccurred with addictive keywords than expected.
Thus, the network analyses provide a list of candidate drugs for further investigation of their potential in addiction treatment or risk.
American Psychological Association (APA)
Sun, Jingchun& Huang, Liang-Chin& Xu, Hua& Zhao, Zhongming. 2014. Network-Assisted Prediction of Potential Drugs for Addiction. BioMed Research International،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-458124
Modern Language Association (MLA)
Sun, Jingchun…[et al.]. Network-Assisted Prediction of Potential Drugs for Addiction. BioMed Research International No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-458124
American Medical Association (AMA)
Sun, Jingchun& Huang, Liang-Chin& Xu, Hua& Zhao, Zhongming. Network-Assisted Prediction of Potential Drugs for Addiction. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-458124
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-458124