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...

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Autores principales:	Takeshi Hase, Hiroshi Tanaka, Yasuhiro Suzuki, So Nakagawa, Hiroaki Kitano
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2009
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/c9cec5b8c64f4192a970311ef633ebfb
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spelling	oai:doaj.org-article:c9cec5b8c64f4192a970311ef633ebfb2021-11-25T05:42:53ZStructure of protein interaction networks and their implications on drug design.1553-734X1553-735810.1371/journal.pcbi.1000550https://doaj.org/article/c9cec5b8c64f4192a970311ef633ebfb2009-10-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/19876376/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Protein-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.Takeshi HaseHiroshi TanakaYasuhiro SuzukiSo NakagawaHiroaki KitanoPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 5, Iss 10, p e1000550 (2009)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Takeshi Hase Hiroshi Tanaka Yasuhiro Suzuki So Nakagawa Hiroaki Kitano Structure of protein interaction networks and their implications on drug design.
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	article
author	Takeshi Hase Hiroshi Tanaka Yasuhiro Suzuki So Nakagawa Hiroaki Kitano
author_facet	Takeshi Hase Hiroshi Tanaka Yasuhiro Suzuki So Nakagawa Hiroaki Kitano
author_sort	Takeshi Hase
title	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_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_sort	structure of protein interaction networks and their implications on drug design.
publisher	Public Library of Science (PLoS)
publishDate	2009
url	https://doaj.org/article/c9cec5b8c64f4192a970311ef633ebfb
work_keys_str_mv	AT takeshihase structureofproteininteractionnetworksandtheirimplicationsondrugdesign AT hiroshitanaka structureofproteininteractionnetworksandtheirimplicationsondrugdesign AT yasuhirosuzuki structureofproteininteractionnetworksandtheirimplicationsondrugdesign AT sonakagawa structureofproteininteractionnetworksandtheirimplicationsondrugdesign AT hiroakikitano structureofproteininteractionnetworksandtheirimplicationsondrugdesign
_version_	1718414484731592704

Structure of protein interaction networks and their implications on drug design.

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