Large-scale exploration and analysis of drug combinations | Zendy

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Large-scale exploration and analysis of drug combinations

Author(s) -

Peng Li,

Chao Huang,

Yingxue Fu,

Jinan Wang,

Ziyin Wu,

Jinlong Ru,

Chunli Zheng,

Zihu Guo,

Xuetong Chen,

Wei Zhou,

Wenjuan Zhang,

Yan Li,

Jianxin Chen,

Aiping Lü,

Yonghua Wang

Publication year - 2015

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btv080

Subject(s) - drug , bayesian network , bayesian probability , adverse effect , computational biology , computer science , pharmacology , machine learning , medicine , artificial intelligence , biology

Drug combinations are a promising strategy for combating complex diseases by improving the efficacy and reducing corresponding side effects. Currently, a widely studied problem in pharmacology is to predict effective drug combinations, either through empirically screening in clinic or pure experimental trials. However, the large-scale prediction of drug combination by a systems method is rarely considered.

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