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Structure of Protein Interaction Networks and Their Implications on Drug Design
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 opti...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2009
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2760708/ https://www.ncbi.nlm.nih.gov/pubmed/19876376 http://dx.doi.org/10.1371/journal.pcbi.1000550 |
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author | Hase, Takeshi Tanaka, Hiroshi Suzuki, Yasuhiro Nakagawa, So Kitano, Hiroaki |
author_facet | Hase, Takeshi Tanaka, Hiroshi Suzuki, Yasuhiro Nakagawa, So Kitano, Hiroaki |
author_sort | Hase, Takeshi |
collection | PubMed |
description | 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. |
format | Text |
id | pubmed-2760708 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-27607082009-10-30 Structure of Protein Interaction Networks and Their Implications on Drug Design Hase, Takeshi Tanaka, Hiroshi Suzuki, Yasuhiro Nakagawa, So Kitano, Hiroaki PLoS Comput Biol Research Article 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. Public Library of Science 2009-10-30 /pmc/articles/PMC2760708/ /pubmed/19876376 http://dx.doi.org/10.1371/journal.pcbi.1000550 Text en Hase et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Hase, Takeshi Tanaka, Hiroshi Suzuki, Yasuhiro Nakagawa, So Kitano, Hiroaki Structure of Protein Interaction Networks and Their Implications on Drug Design |
title | Structure of Protein Interaction Networks and Their Implications on Drug Design |
title_full | Structure of Protein Interaction Networks and Their Implications on Drug Design |
title_fullStr | Structure of Protein Interaction Networks and Their Implications on Drug Design |
title_full_unstemmed | Structure of Protein Interaction Networks and Their Implications on Drug Design |
title_short | Structure of Protein Interaction Networks and Their Implications on Drug Design |
title_sort | structure of protein interaction networks and their implications on drug design |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2760708/ https://www.ncbi.nlm.nih.gov/pubmed/19876376 http://dx.doi.org/10.1371/journal.pcbi.1000550 |
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