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18 résultats avec le mot-clé: 'the small world model amino acid interaction networks'

The Small-World Model for Amino Acid Interaction Networks

In [4], [5], [6], [7] the authors rely on amino acid interaction networks to study some of their properties, in particular concerning the role played by certain nodes or comparing

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A General Model for Amino Acid Interaction Networks.

In [12], [5], [2], [7] the authors rely on similar models of amino acid interaction networks to study some of their properties, in particular concerning the role played by certain

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Motif Prediction in Amino Acid Interaction Networks

In this section, we present a method based on a GA to predict the graph whose vertices represent the SSE and edges represent spatial interactions between two amino acids involved in

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Node Degree Distribution in Amino Acid Interaction Networks

Since the mean degree plays the role of a threshold beyond which the cumulative degree distribution decreases exponentially, it is interesting to study its evolution with the size

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Characterization of amino acid interaction networks in proteins

Since the mean degree plays the role of a threshold beyond which the cumulative degree distri- bution decreases exponentially, it is interesting to study its evolution with the size

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Proteins : From Structural Classification to Amino Acid Interaction Networks.

In this paper we introduce the notion of interaction net- work of amino acids of a protein (SSE-IN) and study some of the properties of these networks. We give dif- ferent means

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Ant Colony Approach to Predict Amino Acid Interaction Networks

Then, we use a comparative model built from the template proteins belonging to the predicted family and we rely on a genetic algorithm to predict the unclassified sequence matrix

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Reconstructing Amino Acid Interaction Networks by an Ant Colony Approach

First, we build an interaction probability between two amino acids as a function of their physico- chemical properties to predict the graph of the folded protein.. Second, we develop

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A Study of Protein Structure using Amino Acid Interaction Networks

In (Muppirala & Li, 2006) and (Brinda & Vishveshwara, 2005) the authors rely on similar models of amino acid interaction networks to study some of their properties,

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Urban gravity in the global container shipping network

Keywords: complex networks; container shipping; globalization; graph theory; gravity model; maritime trade; port cities; spatial interaction; urban systems; world city

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THÈSE THÈSE

Keywords: opportunistic networks, content-centric networks, mobility model, network structure, small-world, disorder, contact pattern, routing algorithm, gradient field, mobile

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Contributions to Modeling, Structural Analysis, and Routing Performance in Dynamic Networks

Keywords: opportunistic networks, content-centric networks, mobility model, network structure, small-world, disorder, contact pattern, routing algorithm, gradient field, mobile

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AVIS D’OPPORTUNITÉ Enquête sur les entreprises et la sous-traitance en 2019 __________

Les résultats de cette enquête intéressent tous les services statistiques ministériels (SSM) couvrant le système productif (SDES pour le secteur des transports et de la

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Code social - Droit du travail 2019

tions d’octroi d’un complément d’entreprise dans le cadre du régime de chô- mage avec complément d’entreprise pour certains travailleurs âgés licenciés qui ont travaillé

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Noncoherent quantum effects in the magnetization reversal of a chemically disordered magnet : SmCo3.5Cu1.5

lized states should interact with the spectrum of lattice vibrations leading to a quasi-continuous spectrum of wall excitations. At low temperature the quantum noise

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Hubs identification in Amino Acids Interaction Networks

We cumulated this score at the SCOP class level to obtain the probability for each amino acid to be a hub having a high connected occurrence in a protein SSE-IN, see Fig 11.. We

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Brain networks of rats under anesthesia using resting-state fMRI: comparison with dead rats, random noise and generative models of networks

The variation of parameter p for the degree distribution in the WS model allows the exploration of small-world networks starting with lattice networks (p = 0) and ending with

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Jeudi 9 Avril

héritage = ce qu’on obtient de quelqu’un après sa mort moissonneur = personne qui coupe et récolte le blé. s’en réjouir = être heureux de

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