Structure of Protein Interaction Networks and Their Implications on Drug Design

被引:82
作者
Hase, Takeshi [1 ]
Tanaka, Hiroshi [2 ]
Suzuki, Yasuhiro [3 ]
Nakagawa, So [4 ,5 ]
Kitano, Hiroaki [6 ,7 ,8 ]
机构
[1] Tokyo Med & Dent Univ, Med Res Inst, Dept Bioinformat, Bunkyo Ku, Tokyo, Japan
[2] Tokyo Med & Dent Univ, Grad Sch Biomed Sci, Dept Bioinformat, Bunkyo Ku, Tokyo, Japan
[3] Nagoya Univ, Grad Sch Informat Sci, Dept Complex Syst Sci, Aichi, Japan
[4] Natl Inst Genet, Ctr Informat Biol, Shizuoka, Japan
[5] Natl Inst Genet, DNA Data Bank Japan, Shizuoka, Japan
[6] Syst Biol Inst, Minato Ku, Tokyo, Japan
[7] Sony Comp Sci Labs, Shinagawa Ku, Tokyo, Japan
[8] Okinawa Inst Sci & Technol, Okinawa, Japan
基金
日本科学技术振兴机构;
关键词
TOPOLOGY; RESOURCE; DOMAINS;
D O I
10.1371/journal.pcbi.1000550
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Protein-protein interaction networks (PINs) are rich sources of information that enable the network properties of biological systems to be understood. A study of the topological and statistical properties of budding yeast and human PINs revealed that they are scale-rich and configured as highly optimized tolerance (HOT) networks that are similar to the router-level topology of the Internet. This is different from claims that such networks are scale-free and configured through simple preferential-attachment processes. Further analysis revealed that there are extensive interconnections among middle-degree nodes that form the backbone of the networks. Degree distributions of essential genes, synthetic lethal genes, synthetic sick genes, and human drug-target genes indicate that there are advantageous drug targets among nodes with middle-to low-degree nodes. Such network properties provide the rationale for combinatorial drugs that target less prominent nodes to increase synergetic efficacy and create fewer side effects.
引用
收藏
页数:9
相关论文
共 26 条
[1]   Scale-free networks in cell biology [J].
Albert, R .
JOURNAL OF CELL SCIENCE, 2005, 118 (21) :4947-4957
[2]   Understanding Internet topology: Principles, models, and validation [J].
Alderson, D ;
Li, L ;
Willinger, W ;
Doyle, JC .
IEEE-ACM TRANSACTIONS ON NETWORKING, 2005, 13 (06) :1205-1218
[3]   Network biology:: Understanding the cell's functional organization [J].
Barabási, AL ;
Oltvai, ZN .
NATURE REVIEWS GENETICS, 2004, 5 (02) :101-U15
[4]   Stratus not altocumulus: A new view of the yeast protein interaction network [J].
Batada, Nizar N. ;
Reguly, Teresa ;
Breitkreutz, Ashton ;
Boucher, Lorrie ;
Breitkreutz, Bobby-Joe ;
Hurst, Laurence D. ;
Tyers, Mike .
PLOS BIOLOGY, 2006, 4 (10) :1720-1731
[5]   The "robust yet fragile" nature of the Internet [J].
Doyle, JC ;
Alderson, DL ;
Li, L ;
Low, S ;
Roughan, M ;
Shalunov, S ;
Tanaka, R ;
Willinger, W .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2005, 102 (41) :14497-14502
[6]   Network properties of genes harboring inherited disease mutations [J].
Feldman, Igor ;
Rzhetsky, Andrey ;
Vitkup, Dennis .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2008, 105 (11) :4323-4328
[7]   The human disease network [J].
Goh, Kwang-Il ;
Cusick, Michael E. ;
Valle, David ;
Childs, Barton ;
Vidal, Marc ;
Barabasi, Albert-Laszlo .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2007, 104 (21) :8685-8690
[8]   MPact:: the MIPS protein interaction resource on yeast [J].
Gueldener, Ulrich ;
Muensterkoetter, Martin ;
Oesterheld, Matthias ;
Pagel, Philipp ;
Ruepp, Andreas ;
Mewes, Hans-Werner ;
Stuempflen, Volker .
NUCLEIC ACIDS RESEARCH, 2006, 34 :D436-D441
[9]   Evidence for dynamically organized modularity in the yeast protein-protein interaction network [J].
Han, JDJ ;
Bertin, N ;
Hao, T ;
Goldberg, DS ;
Berriz, GF ;
Zhang, LV ;
Dupuy, D ;
Walhout, AJM ;
Cusick, ME ;
Roth, FP ;
Vidal, M .
NATURE, 2004, 430 (6995) :88-93
[10]   A network solution [J].
Henney, Adriano ;
Superti-Furga, Giulio .
NATURE, 2008, 455 (7214) :730-731