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Dataset Information

A simple gene set-based method accurately predicts the synergy of drug pairs.


ABSTRACT:

Background

The advance in targeted therapy has greatly increased the effectiveness of clinical cancer therapy and reduced the cytotoxicity of treatments to normal cells. However, patients still suffer from cancer relapse due to the occurrence of drug resistance. It is of great need to explore potential combinatorial drug therapy since individual drug alone may not be sufficient to inhibit continuous activation of cancer-addicted genes or pathways. The DREAM challenge has confirmed the potentiality of computational methods for predicting synergistic drug combinations, while the prediction accuracy can be further improved.

Methods

Based on previous reports, we hypothesized the similarity in biological functions or genes perturbed by two drugs can determine their synergistic ef

SUBMITTER: Hsu YC 

PROVIDER: S-EPMC5009556 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature