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相关论文: Investigation of a Protein Complex Network

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Proteins in organisms, rather than act alone, usually form protein complexes to perform cellular functions. We analyze the topological network structure of protein complexes and their component proteins in the budding yeast in terms of the…

定量方法 · 定量生物学 2011-08-16 Sang Hoon Lee , Pan-Jun Kim , Hawoong Jeong

In this paper we present the first mathematical analysis of the protein interaction network found in the yeast, S. cerevisiae. We show that, (a) the identified protein network display a characteristic scale-free topology that demonstrate…

统计力学 · 物理学 2009-11-07 Hawoong Jeong , Sean P. Mason , Albert-Laszlo Barabasi , Zoltan N. Oltvai

Two processes can influence the evolution of protein interaction networks: addition and elimination of interactions between proteins, and gene duplications increasing the number of proteins and interactions. The rates of these processes can…

统计力学 · 物理学 2007-05-23 A. Wagner

The architecture of the network of protein-protein physical interactions in Saccharomyces cerevisiae is exposed through the combination of two complementary theoretical network measures, betweenness centrality and `Q-modularity'. The yeast…

分子网络 · 定量生物学 2009-09-29 Andre X. C. N. Valente , Michael E. Cusick

Many important cellular functions are implemented by protein complexes that act as sophisticated molecular machines of varying size and temporal stability. Here we demonstrate quantitatively that protein complexes in the yeast,…

分子网络 · 定量生物学 2007-05-23 Zoltan Dezso , Zoltan N. Oltvai , Albert-Laszlo Barabasi

The Saccharomyces cerevisiae protein-protein interaction map, as well as many natural and man-made networks, shares the scale-free topology. The preferential attachment model was suggested as a generic network evolution model that yields…

统计力学 · 物理学 2007-05-23 Eli Eisenberg , Erez Y. Levanon

We test the claim by Yu et al. -- presented in Science 322, 104 (2008) -- that the degree distribution of the yeast (Saccharomyces cerevisiae) protein-interaction network is best approximated by a power law. Yu et al. consider three…

分子网络 · 定量生物学 2009-01-06 Aaron Clauset

Understanding of how protein interaction networks (PIN) of living organisms have evolved or are organized can be the first stepping stone in unveiling how life works on a fundamental ground. Here we introduce a hybrid network model composed…

分子网络 · 定量生物学 2007-05-23 K. -I. Goh , B. Kahng , D. Kim

The next step in the understanding of the genome organization, after the determination of complete sequences, involves proteomics. The proteome includes the whole set of protein-protein interactions, and two recent independent studies have…

统计力学 · 物理学 2007-05-23 Ricard V. Sole , Romualdo Pastor-Satorras , Eric Smith , Thomas B. Kepler

Protein interaction networks aim to summarize the complex interplay of proteins in an organism. Early studies suggested that the position of a protein in the network determines its evolutionary rate but there has been considerable…

分子网络 · 定量生物学 2007-05-23 Ino Agrafioti , Jonathan Swire , James Abbott , Derek Huntley , Sarah Butcher , Michael P. H. Stumpf

We investigate the structural and dynamical properties of the transcriptional regulatory network of the yeast {\it Saccharomyces cerevisiae} and compare it with two unbiased ensembles: one obtained by reshuffling the edges and the other…

分子网络 · 定量生物学 2009-12-08 Murat Tugrul , Alkan Kabakcioglu

In this paper, we study the large-scale protein interaction network of yeast uti lizing a stochastic method based upon percolation of random graphs. In order to find the global features of connectivities in the network, we introduce numeric…

统计力学 · 物理学 2007-05-23 Chen-Shan Chin , Manoj Pratim Samanta

The structure of molecular networks derives from dynamical processes on evolutionary time scales. For protein interaction networks, global statistical features of their structure can now be inferred consistently from several…

统计力学 · 物理学 2007-05-23 Johannes Berg , Michael Lässig , Andreas Wagner

We study how the dynamic equilibrium of the reversible protein-protein binding network in yeast Saccharomyces cerevisiae responds to large changes in abundances of individual proteins. The magnitude of shifts between free and bound…

分子网络 · 定量生物学 2007-08-20 Sergei Maslov , I. Ispolatov

Proteins are an important class of biomolecules that serve as essential building blocks of the cells. Their three-dimensional structures are responsible for their functions. In this thesis we have investigated the protein structures using a…

分子网络 · 定量生物学 2007-11-19 Ganesh Bagler

It has recently been discovered that many biological systems, when represented as graphs, exhibit a scale-free topology. One such system is the set of structural relationships among protein domains. The scale-free nature of this and other…

种群与进化 · 定量生物学 2009-11-10 Eric J. Deeds , Eugene I. Shakhnovich

We apply random matrix theory to complex networks. We show that nearest neighbor spacing distribution of the eigenvalues of the adjacency matrices of various model networks, namely scale-free, small-world and random networks follow…

适应与自组织系统 · 物理学 2016-09-08 Jayendra N. Bandyopadhyay , Sarika Jalan

We explore the interplay between the protein-protein interactions network and the expression of the interacting proteins. It is shown that interacting proteins are expressed in significantly more similar cellular concentrations. This is…

分子网络 · 定量生物学 2007-05-23 Shai Carmi , Erez Y. Levanon , Shlomo Havlin , Eli Eisenberg

Combinations of random and preferential growth for both on-growing and stationary networks are studied and a hierarchical topology is observed. Thus for real world scale-free networks which do not exhibit hierarchical features preferential…

无序系统与神经网络 · 物理学 2015-06-24 Andreas Gronlund , Kim Sneppen , Petter Minnhagen

A major issue in biology is the understanding of the interactions between proteins. These interactions can be described by a network, where the proteins are modeled by nodes and the interactions by edges. The origin of these protein…

生物物理 · 物理学 2011-08-01 Christian M. Schneider , Lucilla de Arcangelis , Hans J. Herrmann
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