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A Conceptual Many Tasks Computing Architecture to Execute Molecular Docking Simulations of a Fully-Flexible Receptor Model

机译:概念性许多任务计算架构,用于执行完全柔性受体模型的分子对接模拟

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Molecular docking simulations of Fully-flexible Protein Receptor (FFR) models are coming of age. However, it demands High Performance Computing (HPC) for its executions and generates huge amounts of data that needs to be analyzed. Distributed HPC systems and scientific workflows are routinely applied to execute compute intensive tasks and to manage data flow. In this work we propose a conceptual Many Tasks Computing architecture to execute molecular docking simulations of FFR models to small molecules in distributed HPC environments.
机译:完全柔性蛋白受体(FFR)模型的分子对接模拟是年龄的。但是,它要求其执行的高性能计算(HPC),并生成需要分析的大量数据。分布式HPC系统和科学工作流程经常应用于执行计算密集型任务并管理数据流。在这项工作中,我们提出了一种概念性许多任务计算架构,以将FFR模型的分子对接模拟到分布式HPC环境中的小分子。

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