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连接点:基于深度学习的自动化模型构建方法在冷-EM.

Harsh Bansia1,2, Amedee des Georges1,2

  • 1Department of Molecular Pathobiology, NYU College of Dentistry, New York, NY, United States.

Frontiers in molecular biosciences
|February 27, 2026
PubMed
概括

深度学习自动化了冷电子显微镜 (cryo-EM) 密度图中的原子模型构建,加速了结构生物学. 本综述对方法进行了分类,并讨论了更广泛应用的挑战.

关键词:
克里奥-EM原子模型的原子模型深度神经网络是一个神经网络.发现药物的发现.模型建筑模型建筑结构生物学结构生物学

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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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