Multiple Target

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Molecular Systems Biology 4; Article number 228; doi:10.1038/msb.2008.60 Citation: Molecular Systems Biology 4:228 & 2008 EMBO and Macmillan Publishers Limited All rights reserved 1744-4292/08 www.molecularsystemsbiology.com

Finding multiple target optimal intervention in diseaserelated molecular network
Kun Yang1,2, Hongjun Bai1,2, Qi Ouyang2, Luhua Lai1,2,* and Chao Tang2,3
1 Beijing National Laboratory for Molecular Sciences, State Key Laboratory for Structural Chemistry of Unstable and Stable Species, College of Chemistry and Molecular Engineering, Peking University, Beijing, China, 2 Center for Theoretical Biology, Peking University, Beijing, China and 3 Department of Biopharmaceutical Sciences, University of California, San Francisco, CA, USA * Corresponding author. Beijing National Laboratory for Molecular Sciences, State Key Laboratory for Structural Chemistry of Unstable and Stable Species, College of Chemistry and Molecular Engineering, and Center for Theoretical Biology, Peking University, Beijing 100871, China. Tel.: þ 86 10 6275 7486; Fax: þ 86 10 6275 1725; E-mail: lhlai@pku.edu.cn

Received 23.5.08; accepted 14.9.08

Drugs against multiple targets may overcome the many limitations of single targets and achieve a more effective and safer control of the disease. Numerous high-throughput experiments have been performed in this emerging field. However, systematic identification of multiple drug targets and their best intervention requires knowledge of the underlying disease network and calls for innovative computational methods that exploit the network structure and dynamics. Here, we develop a robust computational algorithm for finding multiple target optimal intervention (MTOI) solutions in a disease network. MTOI identifies potential drug targets and suggests optimal combinations of the target intervention that best restore the network to a normal…...

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