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We present a simple model for the underlying structure of protein-protein pairwise interaction graphs that is based on the way in which proteins attach to each other in experiments such as yeast two-hybrid assays. We show that data on the…

分子网络 · 定量生物学 2007-05-23 Alun Thomas , Rob Cannings , Nicholas A. M. Monk , Chris Cannings

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

We show that the protein-protein interaction networks can be surprisingly well described by a very simple evolution model of duplication and divergence. The model exhibits a remarkably rich behavior depending on a single parameter, the…

分子网络 · 定量生物学 2009-11-10 I. Ispolatov , P. L. Krapivsky , A. Yuryev

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

Protein interaction networks (PIN) are popular means to visualize the proteome. However, PIN datasets are known to be noisy, incomplete and biased by the experimental protocols used to detect protein interactions. This paper aims at…

无序系统与神经网络 · 物理学 2015-01-06 Alessia Annibale , Anthony C. C. Coolen , Nuria Planell-Morell

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

The degree distribution of many biological and technological networks has been described as a power-law distribution. While the degree distribution does not capture all aspects of a network, it has often been suggested that its functional…

分子网络 · 定量生物学 2007-05-23 Michael P. H. Stumpf , Piers J. Ingram

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

We develop a simple but rigorous model of protein-protein association kinetics based on diffusional association on free energy landscapes obtained by sampling configurations within and surrounding the native complex binding funnels. Guided…

生物大分子 · 定量生物学 2007-05-23 Maximilian Schlosshauer , David Baker

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

Proteins need to selectively interact with specific targets among a multitude of similar molecules in the cell. But despite a firm physical understanding of binding interactions, we lack a general theory of how proteins evolve high…

生物大分子 · 定量生物学 2022-09-28 John M McBride , Jean-Pierre Eckmann , Tsvi Tlusty

The evolutionary reason for the increase in gene length from archaea to prokaryotes to eukaryotes observed in large scale genome sequencing efforts has been unclear. We propose here that the increasing complexity of protein-protein…

分子网络 · 定量生物学 2009-11-10 Taison Tan , Daan Frenkel , Vishal Gupta , Michael W. Deem

How do living cells achieve sufficient abundances of functional protein complexes while minimizing promiscuous non-functional interactions? Here we study this problem using a first-principle model of the cell whose phenotypic traits are…

生物大分子 · 定量生物学 2011-01-04 Muyoung Heo , Sergei Maslov , Eugene I. Shakhnovich

We employed the random graph theory approach to analyze the protein-protein interaction database DIP (Feb. 2004), for seven species (S. cerevisiae, H. pylori, E. coli, C. elegans, H. sapiens, M. musculus and D. melanogaster). Several global…

分子网络 · 定量生物学 2007-05-23 Ka-Lok Ng , Chien-Hung Huang

The scale free structure p(k)~k^{-gamma} of protein-protein interaction networks can be reproduced by a static physical model in simulation. We inspect the model theoretically, and find the key reason for the model to generate apparent…

分子网络 · 定量生物学 2015-06-26 Jingshan Zhang , Eugene I. Shakhnovich

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

A fundamental question for evolutionary biology is why rates of evolution vary dramatically between proteins. Perhaps surprisingly, it is controversial how much a protein's functional importance affects its rate of evolution. In most…

种群与进化 · 定量生物学 2009-09-20 Ryan N. Gutenkunst

Protein-DNA interactions are vital for many processes in living cells, especially transcriptional regulation and DNA modification. To further our understanding of these important processes on the microscopic level, it is necessary that…

生物大分子 · 定量生物学 2007-05-23 Jason E Donald , William W Chen , Eugene I Shakhnovich

Successive whole genome duplications have recently been firmly established in all major eukaryote kingdoms. It is not clear, however, how such dramatic evolutionary process has contributed to shape the large scale topology of…

分子网络 · 定量生物学 2007-05-23 K. Evlampiev , H. Isambert

A protein model with the pairwise interaction energies varying as local environment changes, i.e., including some kinds of collective effect between the contacts, is proposed. Lattice Monte Carlo simulations on the thermodynamical…

软凝聚态物质 · 物理学 2009-11-07 K. Fan , J. Wang , W. Wang
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