从 COVID-19 病毒的响应分子动力学研究中汲取的经验教训。

David J Hardy, Barry Isralewitz, John E Stone, Emad Tajkhorshid
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摘要

在过去的 18 个月里,由于需要对 SARS-CoV-2 病毒、其尖峰蛋白以及与病毒感染周期相关的其他结构进行原子细节分子动力学模拟,世界各地的生物医学研究人员急需寻找所有可用的生物分子结构信息、适当的分子建模和模拟软件以及必要的计算资源来开展工作。我们将介绍几项 COVID-19 研究合作的经验,以及这些合作在分子建模软件开发和支持工作、实验室本地计算环境以及科学家使用非传统 HPC 硬件平台(如用于大规模并行分子动力学模拟的公共云)方面所面临的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Lessons Learned from Responsive Molecular Dynamics Studies of the COVID-19 Virus.

Over the past 18 months, the need to perform atomic detail molecular dynamics simulations of the SARS-CoV-2 virion, its spike protein, and other structures related to the viral infection cycle has led biomedical researchers worldwide to urgently seek out all available biomolecular structure information, appropriate molecular modeling and simulation software, and the necessary computing resources to conduct their work. We describe our experiences from several COVID-19 research collaborations and the challenges they presented in terms of our molecular modeling software development and support efforts, our laboratory's local computing environment, and our scientists' use of non-traditional HPC hardware platforms such as public clouds for large scale parallel molecular dynamics simulations.

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Lessons Learned from Responsive Molecular Dynamics Studies of the COVID-19 Virus.
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