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Moving Volunteer Computing towards Knowledge-Constructed, Dynamically-Adaptive Modeling and Scheduling M. Taufer1 , A. Kerstens1, T. P. Estrada1 , D. A. Flores1 , R. Zamudio1,
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Document Date: 2007-08-03 10:58:00


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IBM / Grid Technologies / CNN.com / Sony / Ligand / Intel / John Wiley & Sons / /

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United States / /

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University of Texas / /

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rigid protein binding site / software modifications / lowest-energy structures / protein binding site / heterogeneous computing / conformational search / protein structure prediction algorithm / application simulation protocols / public-resource computing / resource management / protein-binding site / lowest energy / replica computing / volunteer computing projects / computing / attractive solution / /

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Work in Progress / /

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Microsoft Windows / /

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National Science Foundation / University of Texas at El Paso / /

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M. Veith / M. Taufer / G. Wu / B. Roux / L. Nilsson / Kevin Reed / D. H. Robertson / B. Brooks / A. Kerstens / C. L. Brooks III / Brooks III / P. Cicotti / M. Crowley / D. Price / D. P. Anderson / David Anderson / C. An / M. Karplus / Y. Won / A. Chien / /

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Work generator Create workunits Transitioner Feeder Worker / WUG Worker / J. Teller / Quor um CGI scheduler / project administrator / representative / /

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Sony PlayStation 3 / SimBA / /

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Texas / California / /

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Journal of Molecular Biology / Journal of Computational Chemistry / /

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alpha / docking algorithm / application simulation protocols / protein structure prediction algorithm / Computational Chemistry / machine learning / shared memory / docking protocol / CGI / dielectric / simulation / /

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