Deducing topology of protein-protein interaction networks from experimentally measured sub-networksReportar como inadecuado




Deducing topology of protein-protein interaction networks from experimentally measured sub-networks - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

BMC Bioinformatics

, 9:301

First Online: 03 July 2008Received: 22 February 2008Accepted: 03 July 2008

Abstract

BackgroundProtein-protein interaction networks are commonly sampled using yeast two hybrid approaches. However, whether topological information reaped from these experimentally-measured sub-networks can be extrapolated to complete protein-protein interaction networks is unclear.

ResultsBy analyzing various experimental protein-protein interaction datasets, we found that they are not random samples of the parent networks. Based on the experimental bait-prey behaviors, our computer simulations show that these non-random sampling features may affect the topological information. We tested the hypothesis that a core sub-network exists within the experimentally sampled network that better maintains the topological characteristics of the parent protein-protein interaction network. We developed a method to filter the experimentally sampled network to result in a core sub-network that more accurately reflects the topology of the parent network. These findings have fundamental implications for large-scale protein interaction studies and for our understanding of the behavior of cellular networks.

ConclusionThe topological information from experimental measured networks network as is may not be the correct source for topological information about the parent protein-protein interaction network. We define a core sub-network that more accurately reflects the topology of the parent network.

Electronic supplementary materialThe online version of this article doi:10.1186-1471-2105-9-301 contains supplementary material, which is available to authorized users.

Download fulltext PDF



Autor: Ling Yang - Thomas M Vondriska - Zhangang Han - W Robb MacLellan - James N Weiss - Zhilin Qu

Fuente: https://link.springer.com/



DESCARGAR PDF




Documentos relacionados