Rendering protein structures inside cells at the atomic level with Unreal Engine

Muyuan Chen
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Abstract

While the recent development of cryogenic electron tomography (CryoET) makes it possible to identify various macromolecules inside cells and determine their structure at near-atomic resolution, it remains challenging to visualize the complex cellular environment at the atomic level. One of the main hurdles in cell visualization is to render the millions of molecules in real time computationally. Here, using a video game engine, we demonstrate the capability of rendering massive biological macromolecules at the atomic level within their native environment. To facilitate the visualization, we also provide tools that help the interactive navigation inside the cells, as well as software that converts protein structures identified using CryoET to a scene that can be explored with the game engine.
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使用虚幻引擎在原子级别渲染细胞内的蛋白质结构
尽管低温电子断层成像技术(CryoET)的最新发展使人们有可能识别细胞内的各种大分子并以接近原子的分辨率确定其结构,但要在原子水平上将复杂的细胞环境可视化仍是一项挑战。细胞可视化的主要障碍之一是通过计算实时呈现数百万个分子。在这里,我们利用视频游戏引擎,展示了在原子水平上渲染原生环境中大量生物大分子的能力。为了促进可视化,我们还提供了帮助在细胞内进行交互式导航的工具,以及将利用 CryoET 确定的蛋白质结构转换为可通过游戏引擎进行探索的场景的软件。
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