Bioinformatics analysis of protein interaction networks: statistics, topologies, and meeting the standards of experimental biologists.
In recent years, bioinformatics analyses of protein networks have allowed researchers to obtain exceptional theoretical predictions and subsequent experimental confirmations. The current view is that protein networks are scale-free networks and have a topology analogous to that of transport networks, the Internet, and social networks. However, an alternative hypothesis exists in which protein networks and scale-free networks possess significantly different properties. In this work, we show that existing information is insufficient to describe protein networks as scale-free networks.
Institute of Biology and Soil Sciences, Far East Branch of the Russian Academy of Sciences, Vladivostok, 690022, Russia. bulgakov@ibss.dvo.ru.
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Bulgakov
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Tsitsiashvili
D000818:Animals; D019295:Computational Biology; D006801:Humans; D025941:Protein Interaction Mapping / Q000592:standards; D011506:Proteins / Q000737:chemistry* / Q000378:metabolism*
D011506:Proteins