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Former work on an application of order-disorder theory is recalled as a vehicle to add further development and significance to the recent paper on motifs in protein interactions.

分子网络 · 定量生物学 2007-05-23 Stan Bumble

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

In complex systems, groups of interacting objects may form prevalent and persistent spatiotemporal patterns, which we refer to as motifs. These motifs can exhibit features that reveal how individual objects interact with one another.…

生物物理 · 物理学 2025-12-12 Ying Chen Lim , Rakesh Das , Tetsuya Hiraiwa , N. Duane Loh

High-throughput protein interaction detection methods are strongly affected by false positive and false negative results. Focused experiments are needed to complement the large-scale methods by validating previously detected interactions…

分子网络 · 定量生物学 2007-05-23 Istvan Albert , Reka Albert

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 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

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

Topological features of gene regulatory networks can be successfully reproduced by a model population evolving under selection for short dynamical attractors. The evolved population of networks exhibit motif statistics, summarized by…

分子网络 · 定量生物学 2016-08-11 Burçin Danacı , Mehmet Ali Anıl , Ayşe Erzan

Topological network motifs represent functional relationships within and between regulatory and protein-protein interaction networks. Enriched motifs often aggregate into self-contained units forming functional modules. Theoretical models…

分子网络 · 定量生物学 2011-09-12 Tom Michoel , Anagha Joshi , Bruno Nachtergaele , Yves Van de Peer

The structure and dynamics of a typical biological system are complex due to strong and inhomogeneous interactions between its constituents. The investigation of such systems with classical mathematical tools, such as differential equations…

分子网络 · 定量生物学 2008-02-15 Murat Tuğrul

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

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

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

Protein complexes conserved across species indicate processes that are core to cellular machinery (e.g. cell-cycle or DNA damage-repair complexes conserved across human and yeast). While numerous computational methods have been devised to…

分子网络 · 定量生物学 2013-10-24 Phi Vu Nguyen , Sriganesh Srihari , Hon Wai Leong

Protein structures are much more conserved than sequences during evolution. Based on this observation, we investigate the consequences of structural conservation on protein evolution. We study seven of the most studied protein folds,…

软凝聚态物质 · 物理学 2007-05-23 Ugo Bastolla , Markus Porto , H. Eduardo Roman , Michele Vendruscolo

We model the evolution of eukaryotic protein-protein interaction (PPI) networks. In our model, PPI networks evolve by two known biological mechanisms: (1) Gene duplication, which is followed by rapid diversification of duplicate…

分子网络 · 定量生物学 2015-01-07 Jack Peterson , Steve Presse , Kristin S. Peterson , Ken A. Dill

The cell cycle is a tightly controlled process, yet its underlying genetic network shows marked differences across species. Which of the associated structural features follow solely from the ability to impose the appropriate gene expression…

分子网络 · 定量生物学 2015-06-12 M. Zagorski , A. Krzywicki , O. C. Martin

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

Proteins must fold quickly to acquire their biologically functional three-dimensional native structures. Hence, these are mainly stabilized by local contacts, while intricate topologies such as knots are rare. Here, we reveal the existence…

生物大分子 · 定量生物学 2019-06-20 Marco Baiesi , Enzo Orlandini , Flavio Seno , Antonio Trovato

The discovery of motifs underlying gene expression is a challenging one. Some of these motifs are known transcription factors, but sequence inspection often provides valuable clues, even discovery of novel motifs with uncharacterized…

基因组学 · 定量生物学 2007-05-23 Arvind Rao , Alfred O. Hero , David J. States , James Douglas Engel
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