Todd Hamish, Emsley Paul
Huawei Research and Development, Cambridge, United Kingdom.
MRC Laboratory of Molecular Biology, Cambridge, United Kingdom.
Acta Crystallogr D Struct Biol. 2021 Jan 1;77(Pt 1):19-27. doi: 10.1107/S2059798320013625.
Biological macromolecules have complex three-dimensional shapes that are experimentally examined using X-ray crystallography and electron cryo-microscopy. Interpreting the data that these methods yield involves building 3D atomic models. With almost every data set, some portion of the time put into creating these models must be spent manually modifying the model in order to make it consistent with the data; this is difficult and time-consuming, in part because the data are `blurry' in three dimensions. This paper describes the design and assessment of CootVR (available at http://hamishtodd1.github.io/cvr), a prototype computer program for performing this task in virtual reality, allowing structural biologists to build molecular models into cryo-EM and crystallographic data using their hands. CootVR was timed against Coot for a very specific model-building task, and was found to give an order-of-magnitude speedup for this task. A from-scratch model build using CootVR was also attempted; from this experience it is concluded that currently CootVR does not give a speedup over Coot overall.
生物大分子具有复杂的三维形状,可通过X射线晶体学和冷冻电子显微镜进行实验检测。解读这些方法产生的数据需要构建三维原子模型。几乎对于每个数据集,在创建这些模型时,都必须花费一部分时间手动修改模型,以使模型与数据一致;这既困难又耗时,部分原因是数据在三维空间中是“模糊的”。本文描述了CootVR(可在http://hamishtodd1.github.io/cvr获取)的设计与评估,这是一个用于在虚拟现实中执行此任务的原型计算机程序,使结构生物学家能够用手将分子模型构建到冷冻电镜和晶体学数据中。针对一项非常特定的模型构建任务,对CootVR和Coot进行了计时比较,发现CootVR在此任务上速度提高了一个数量级。还尝试了使用CootVR从头开始构建模型;从这次经历可以得出结论,目前CootVR在整体上并没有比Coot提速。