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Large-scale virtual screening experiments on Windows Azure-based cloud resources

机译:基于Windows Azure的云资源的大规模虚拟筛选实验

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Molecular docking simulations have high potential to contribute to a wide area of molecular and biomedical research in various disciplines including molecular biology, drug design, environmental studies and psychology. Conducting large-scale molecular docking experiments requires a vast amount of computing resources. Several types of distributed computing infrastructures have been investigated and utilized recently to conduct such simulations, including service and desktop grid systems or local clusters. This paper investigates and analyses how Windows Azure-based cloud resources can be applied for this purpose. A virtual screening experiment framework has been implemented on a Windows Azure-based cloud using the generic worker concept. Virtual machines can be instantiated in the cloud on demand scaling up the simulations based on the volume of molecules to be docked and the available financial resources. Bioscientists are able to execute the simulations and visualise the results from a high-level user interface. The paper describes the experiences when implementing the molecular docking application on this novel platform and provides the first benchmarking experiments to evaluate the suitability of the infrastructure for computation intensive simulations. Copyright © 2013 John Wiley & Sons, Ltd.
机译:分子对接模拟具有很大的潜力,可以为分子生物学,药物设计,环境研究和心理学等各个学科的分子和生物医学研究领域做出贡献。进行大规模的分子对接实验需要大量的计算资源。最近已经研究并使用了几种类型的分布式计算基础架构来进行这种模拟,包括服务和桌面网格系统或本地集群。本文研究并分析了如何将基于Windows Azure的云资源应用于此目的。使用通用工作程序概念,已在基于Windows Azure的云上实现了虚拟筛选实验框架。可以根据需要在云中实例化虚拟机,基于要对接的分子的数量和可用的财务资源来扩大仿真规模。生物科学家能够执行模拟并通过高级用户界面可视化结果。本文介绍了在此新型平台上实施分子对接应用程序时的经验,并提供了第一个基准测试,以评估基础设施对计算密集型仿真的适用性。版权所有©2013 John Wiley&Sons,Ltd。

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