Combining genomic and network characteristics for extended capability in predicting synergistic drugs for cancer-Reference-Cited by-同舟云学术

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Combining genomic and network characteristics for extended capability in predicting synergistic drugs for cancer

Published:2015-09-28 Issue:1 Volume:6 Page:
ISSN:2041-1723
Container-title:Nature Communications
language:en
Short-container-title:Nat Commun

Author:

Sun Yi,Sheng Zhen,Ma Chao,Tang Kailin,Zhu Ruixin,Wu Zhuanbin,Shen Ruling,Feng Jun,Wu Dingfeng,Huang Danyi,Huang Dandan,Fei Jian,Liu Qi,Cao Zhiwei

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry

Link

http://www.nature.com/articles/ncomms9481.pdf

Reference42 articles.

1. Al-Lazikani, B., Banerji, U. & Workman, P. Combinatorial drug therapy for cancer in the post-genomic era. Nat. Biotechnol. 30, 679–692 (2012).

2. Chou, T. C. Theoretical basis, experimental design, and computerized simulation of synergism and antagonism in drug combination studies. Pharmacol. Rev. 58, 621–681 (2006).

3. Held, M. A. et al. Genotype-selective combination therapies for melanoma identified by high-throughput drug screening. Cancer Discov. 3, 52–67 (2013).

4. Mathews Griner, L. A. et al. High-throughput combinatorial screening identifies drugs that cooperate with ibrutinib to kill activated B-cell-like diffuse large B-cell lymphoma cells. Proc. Natl Acad. Sci. USA 111, 2349–2354 (2014).

5. Cokol, M. et al. Systematic exploration of synergistic drug pairs. Mol. Syst. Biol. 7, 544 (2011).

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