Title |
Structure of Protein Interaction Networks and Their Implications on Drug Design
|
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Published in |
PLoS Computational Biology, October 2009
|
DOI | 10.1371/journal.pcbi.1000550 |
Pubmed ID | |
Authors |
Takeshi Hase, Hiroshi Tanaka, Yasuhiro Suzuki, So Nakagawa, Hiroaki Kitano |
Abstract |
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. |
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Turkey | 1 | <1% |
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Other | 6 | 3% |
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Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 50 | 28% |
Student > Ph. D. Student | 42 | 23% |
Student > Master | 19 | 11% |
Professor > Associate Professor | 16 | 9% |
Professor | 9 | 5% |
Other | 30 | 17% |
Unknown | 13 | 7% |
Readers by discipline | Count | As % |
---|---|---|
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Biochemistry, Genetics and Molecular Biology | 19 | 11% |
Computer Science | 18 | 10% |
Medicine and Dentistry | 9 | 5% |
Physics and Astronomy | 6 | 3% |
Other | 23 | 13% |
Unknown | 19 | 11% |