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使用分子模拟和流形学习的冷冻电子显微镜实验的四维成像。

Four-dimensional imaging for cryo-electron microscopy experiments using molecular simulations and manifold learning.

作者信息

Yoshidome Takashi

机构信息

Department of Applied Physics, Graduate School of Engineering, Tohoku University, Sendai, Japan.

出版信息

J Comput Chem. 2024 Apr 30;45(11):738-751. doi: 10.1002/jcc.27290. Epub 2023 Dec 19.

DOI:10.1002/jcc.27290
PMID:38112413
Abstract

Elucidating protein conformational changes is essential because conformational changes are closely related to the functions of proteins. Cryo-electron microscopy (cryo-EM) experiment can be used to reconstruct protein conformational changes via a method that involves using the experimental data (two-dimensional protein images). In this study, a reconstruction method, referred to as the "four-dimensional imaging," was proposed. In our four-dimensional imaging technique, the protein conformational change was obtained using the two-dimensional protein images (the three-dimensional electron density maps used in previously proposed techniques were not used). The protein conformation for each two-dimensional protein image was obtained using our original protocol with molecular dynamics simulations. Using a manifold-learning technique and two-dimensional protein images, the protein conformations were arranged according to the conformational change of the protein. By arranging the protein conformations according to the arrangement of the protein images, four-dimensional imaging is constructed. A simulation for a cryo-EM experiment demonstrated the validity of our four-dimensional imaging technique.

摘要

阐明蛋白质构象变化至关重要,因为构象变化与蛋白质的功能密切相关。冷冻电子显微镜(cryo-EM)实验可通过一种涉及使用实验数据(二维蛋白质图像)的方法来重建蛋白质构象变化。在本研究中,提出了一种称为“四维成像”的重建方法。在我们的四维成像技术中,利用二维蛋白质图像获得蛋白质构象变化(未使用先前提出的技术中所使用的三维电子密度图)。使用我们基于分子动力学模拟的原始方案来获取每个二维蛋白质图像的蛋白质构象。利用流形学习技术和二维蛋白质图像,根据蛋白质的构象变化来排列蛋白质构象。通过根据蛋白质图像的排列来排列蛋白质构象,构建了四维成像。对冷冻电子显微镜实验的模拟证明了我们四维成像技术的有效性。

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