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相关概念视频

Cryo-electron Microscopy01:28

Cryo-electron Microscopy

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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...
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<math><mrow><mi>Q</mi> <mtext>-</mtext> <mi>score</mi></mrow></math> as a reliability measure for protein, nucleic acid, and small molecule atomic coordinate models derived from 3DEM density maps.

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Cryo-EM and Single-Particle Analysis with Scipion
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Cryo-EM and Single-Particle Analysis with Scipion

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在克里奥-EM地图衍生模型中诊断和治疗问题.

Grigore Pintilie1

  • 1Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.

Structure (London, England : 1993)
|July 7, 2023
PubMed
概括

一种名为MEDIC的新方法在残留物水平上评估冷电子显微镜 (cryo-EM) 模型. 这种方法结合了多个指标来改善模型解释,并指导结构生物学未来的改进.

科学领域:

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

背景情况:

  • 电子显微镜 (cryo-EM) 是一种强大的技术,用于确定生物宏分子的三维结构.
  • 评估嵌入冷电磁图的原子模型的质量和准确性对于可靠的结构解释至关重要.
  • 现有的模型评估方法通常评估全球或本地特征,但需要进行全面的残留水平评估.

研究的目的:

  • 引入和验证一种用于评估冷EM模型的新方法.
  • 提供结合多个质量指标的残留水平评估.
  • 为了促进从冷EM数据中获得的原子模型的改进和解释.

主要方法:

  • 开发了MEDIC方法 (使用冷-EM组合指标组的模型评估).
  • 整合各种指标来评估模型几何,适合地图和立体化学性质.
  • 将MEDIC应用于各种冷电磁数据集,并与现有评估工具进行比较.

主要成果:

  • 医学提供了一个统一的,残留物特定的分数,用于冷-EM模型质量.
  • 该方法有效地在模型中确定需要改进或重新解释的区域.
  • 与单个指标相比,MEDIC在区分正确模型和不正确模型方面表现出卓越的表现.

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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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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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结论:

  • 医学提供了一个强大的和全面的方法来评估冷-EM模型.
  • 这种残留水平评估工具有助于研究人员改进原子模型,并提高结构生物学研究的可靠性.
  • 预计MEDIC方法将成为冷EM社区的一个有价值的工具.