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    IJSEKE
    2006
    99views more  IJSEKE 2006»
    Weaving Deployment Aspects into Domain-specific Models
    13 years 8 months ago
    Weaving Deployment Aspects into Domain-specific Models
    Download  www.dre.vanderbilt.edu
    pecific models increase the level of abstraction used to develop large-scale component-based systems. Model-driven development (MDD) approaches (e.g., ModelIntegrated Computing and...
    Krishnakumar Balasubramanian, Aniruddha S. Gokhale...
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    JCC
    2008
    114views more  JCC 2008»
    Molecular simulation of multistate peptide dynamics: A comparison between microsecond timescale sampling and multiple shorter tr
    13 years 8 months ago
    Molecular simulation of multistate peptide dynamics: A comparison between microsecond timescale sampling and multiple shorter tr
    Download  folding.cnsm.csulb.edu
    Abstract: Molecular dynamics simulations of the RN24 peptide, which includes a diverse set of structurally heterogeneous states, are carried out in explicit solvent. Two approaches...
    Luca Monticelli, Eric J. Sorin, D. Peter Tieleman,...
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    JCC
    2008
    88views more  JCC 2008»
    A self-organizing algorithm for molecular alignment and pharmacophore development
    13 years 8 months ago
    A self-organizing algorithm for molecular alignment and pharmacophore development
    Download  www.dimitris-agrafiotis.com
    Abstract: We present a method for simultaneous three-dimensional (3D) structure generation and pharmacophorebased alignment using a self-organizing algorithm called Stochastic Prox...
    Deepak Bandyopadhyay, Dimitris K. Agrafiotis
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    JCM
    2008
    242views more  JCM 2008»
    SimANet - A Large Scalable, Distributed Simulation Framework for Ambient Networks
    13 years 8 months ago
    SimANet - A Large Scalable, Distributed Simulation Framework for Ambient Networks
    Download  www.academypublisher.com
    In this paper, we present a new simulation platform for complex, radio standard spanning mobile Ad Hoc networks. SimANet - Simulation Platform for Ambient Networks - allows the coe...
    Matthias Vodel, Matthias Sauppe, Mirko Caspar, Wol...
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    JACM
    2006
    99views more  JACM 2006»
    Finding a maximum likelihood tree is hard
    13 years 8 months ago
    Finding a maximum likelihood tree is hard
    Download  www.cs.tau.ac.il
    Abstract. Maximum likelihood (ML) is an increasingly popular optimality criterion for selecting evolutionary trees [Felsenstein 1981]. Finding optimal ML trees appears to be a very...
    Benny Chor, Tamir Tuller
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