Structure-based protein-protein interaction networks and drug design

作     者：Hammad Naveed Jingdong J. Han 

作者机构：Chinese Academy of Sciences Key Laboratory of Computational Biology Chinese Academy of Sciences-Max Planck PartnerInstitute for Computational Biology Shanghai Institutes for Biological Sciences Chinese Academy of Sciences Shanghai200031 China 

出 版 物：《Frontiers of Electrical and Electronic Engineering in China》 (中国电气与电子工程前沿（英文版）)

年 卷 期：2013年第8卷第3期

页      面：183-191页

学科分类：0710[理学-生物学] 0831[工学-生物医学工程（可授工学、理学、医学学位）] 0711[理学-系统科学] 1007[医学-药学(可授医学、理学学位)] 07[理学] 08[工学] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 10[医学] 

基　　金：This work was funded by grants from the National Natural Science Foundation of China (NSFC) (Grant No. 31210103916 and 91019019)  Chinese Ministry of Science and Technology (Grant No. 2011CB504206) and Chinese Academy of Sciences (CAS) (Grant Nos. KSCX2-EW-R-02 and KSCX2-EW-J-15) and stem cell leading project XDA01010303 to J.D.J.H.H.N. was supported by the Chinese Academy of Sciences Fellow- ship for Young International Scientist [Grant No. 2012Y1SB0006] and the National Natural Science Foundation of China [Grant No. 31250110524]. The authors thank Dr. Jerome Boyd-Kirkup for extensive editing and Hamna Anwar for proofreading the manu- script 

主　　题：protein-protein interaction network structure-based drug design drug reposition 

摘      要：Proteins carry out their functions by interacting with other proteins and small molecules, forming a complex interaction network. In this review, we briefly introduce classical graph theory based protein-protein interaction networks. We also describe the commonly used experimental methods to construct these networks, and the insights that can be gained from these networks. We then discuss the recent transition from graph theory based networks to structure based protein-protein interaction networks and the advantages of the latter over the former, using two networks as examples. We further discuss the usefulness of structure based protein-protein interaction networks for drug discovery, with a special emphasis on drug repositioning.