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

机译:概念性多任务计算体系结构,以执行完全灵活的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已经成熟。但是,它的执行需要高性能计算(HPC),并生成大量需要分析的数据。分布式HPC系统和科学工作流通常用于执行计算密集型任务和管理数据流。在这项工作中,我们提出了一个概念性的“多任务计算”体系结构,以执行FFR模型与分布式HPC环境中的小分子的分子对接模拟。

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