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相关概念视频

Cryo-electron Microscopy01:28

Cryo-electron Microscopy

3.3K
Conventional electron microscopy (EM) involves dehydration, fixation, and staining of biological samples, which distorts the native state of biological molecules and results in several artifacts. Also, the high-energy electron beam damages the sample and makes it difficult to obtain high-resolution images. These issues can be addressed using cryo-EM, which uses frozen samples and gentler electron beams. The technique was developed by Jacques Dubochet, Joachim Frank, and Richard Henderson, for...
3.3K

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相关实验视频

Updated: Jun 10, 2025

Optimizing Sample Preparation for Cryogenic Electron Microscopy
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Optimizing Sample Preparation for Cryogenic Electron Microscopy

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GoToCloud优化云计算环境,以加速基于冷EM结构的药物设计.

Toshio Moriya1, Yusuke Yamada2,3, Misato Yamamoto2

  • 1Structural Biology Research Center, Photon Factory, Institute of Materials Structure Science, High Energy Accelerator Research Organization (KEK), Tsukuba, Japan. toshio.moriya@kek.jp.

Communications biology
|October 14, 2024
PubMed
概括

GoToCloud是一个新的云平台,可以加速用于药物设计的冷EM数据分析. 它优化了计算资源,减少了基于结构的药物设计 (SBDD) 的成本和处理时间.

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A Robust Single-Particle Cryo-Electron Microscopy cryo-EM Processing Workflow with cryoSPARC, RELION, and Scipion
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A Robust Single-Particle Cryo-Electron Microscopy cryo-EM Processing Workflow with cryoSPARC, RELION, and Scipion

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科学领域:

  • 生物物理学的生物物理.
  • 结构生物学 结构生物学
  • 计算生物学 计算生物学

背景情况:

  • 低温电子显微镜 (Cryo-EM) 提供了基于结构的药物设计 (SBDD) 所必需的原子分辨率3D结构.
  • 目前的冷EM数据分析是一个瓶,由于技术的快速进步,限制了SBDD的吞吐量.
  • 实现SBDD足够的吞吐量仍然是冷电磁研究中的一个挑战.

研究的目的:

  • 介绍GoToCloud,这是一个云计算平台,旨在用于先进的Cryo-EM数据分析和管理.
  • 展示GoToCloud如何优化计算资源并降低Cryo-EM工作流程中的成本.
  • 通过使用 Cryo-EM 数据突出了 GoToCloud 在加速 SBDD 的潜力.

主要方法:

  • 开发GoToCloud,这是一个基于云的平台,用于Cryo-EM数据分析.
  • 通过为每个步骤选择适当的并行处理设置来实现资源优化.
  • 进行基准测试,以评估计算硬件和目标解析对性能的影响.

主要成果:

  • 通过量身定制的并行处理,GoToCloud可以优化计算资源并降低成本.
  • 基准测试证实,并行计算设置显著影响处理时间和成本效益.
  • 计算硬件的选择和所需的分辨率极大地影响了Cryo-EM数据处理效率.

结论:

  • GoToCloud 提供了一个有前途的解决方案,可以加速 Cryo-EM 数据分析和 SBDD.
  • 优化云计算环境对于提高Cryo-EM工作流程的效率至关重要.
  • 该平台为药物发现提供了具有成本效益和时间效率的结构确定.