Predicting synergistic effects between compounds through their structural similarity and effects on transcriptomes | Zendy

Yiyi Liu | Zendy; Hongyu Zhao | Zendy

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Predicting synergistic effects between compounds through their structural similarity and effects on transcriptomes

Author(s) -

Yiyi Liu,

Hongyu Zhao

Publication year - 2016

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/btw509

Subject(s) - transcriptome , similarity (geometry) , computational biology , computer science , structural similarity , biology , artificial intelligence , genetics , gene , gene expression , image (mathematics)

Combinatorial therapies have been under intensive research for cancer treatment. However, due to the large number of possible combinations among candidate compounds, exhaustive screening is prohibitive. Hence, it is important to develop computational tools that can predict compound combination effects, prioritize combinations and limit the search space to facilitate and accelerate the development of combinatorial therapies.

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