Predicting combinative drug pairs towards realistic screening via integrating heterogeneous features-Reference-Cited by-同舟云学术

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Predicting combinative drug pairs towards realistic screening via integrating heterogeneous features

Published:2017-10 Issue:S12 Volume:18 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Shi Jian-Yu,Li Jia-Xin,Gao Ke,Lei Peng,Yiu Siu-Ming

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/s12859-017-1818-2.pdf

Reference18 articles.

1. Jia J, Zhu F, Ma X, Cao Z, Li Y, Chen YZ. Mechanisms of drug combinations: interaction and network perspectives. Nat Rev Drug Discov. 2009;8:111–28.

2. Henkel J. Attacking AIDS with a 'cocktail' therapy? FDA Consum. 1999;33:12–7.

3. Feliu J, Sereno M, De Castro J, Belda C, Casado E, Gonzalez-Baron M. Chemotherapy for colorectal cancer in the elderly: who to treat and what to use. Cancer Treat Rev. 2009;35:246–54.

4. Liu Y, Hu B, Fu C, Chen X. DCDB: drug combination database. Bioinformatics. 2010;26:587–8.

5. Zhao XM, Iskar M, Zeller G, Kuhn M, van Noort V, Bork P. Prediction of drug combinations by integrating molecular and pharmacological data. PLoS Comput Biol. 2011;7:e1002323.

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