Name
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1371/journal.pcbi.1000550 | PLOS COMPUTATIONAL BIOLOGY |
Keywords | Field | DocType |
drug targeting,drug design,side effect,degree distribution,scale free,biological systems | Drug discovery,Protein–protein interaction,Biology,Lethal allele,Highly optimized tolerance,Genomics,Fungal protein,Scale-free network,Bioinformatics,The Internet | Journal |
Volume | Issue | ISSN |
5 | 10 | 1553-734X |
Citations | PageRank | References |
18 | 0.95 | 6 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Takeshi Hase | 1 | 35 | 2.54 |
| Hiroshi Tanaka | 2 | 56 | 13.71 |
| Yasuhiro Suzuki | 3 | 126 | 13.64 |
| So Nakagawa | 4 | 19 | 1.68 |
| Hiroaki Kitano | 5 | 3515 | 539.37 |