Department of Biochemistry and Molecular Biology, Structural Biology Imaging Center, McGovern Medical School, The University of Texas Health Science Center, 6431 Fannin Street, Houston, TX 77030, USA.
Biomolecules. 2022 Jun 2;12(6):773. doi: 10.3390/biom12060773.
Single-particle electron cryomicroscopy (cryoEM) has become an indispensable tool for studying structure and function in macromolecular assemblies. As an integral part of the cryoEM structure determination process, computational tools have been developed to build atomic models directly from a density map without structural templates. Nearly a decade ago, we created Pathwalking, a tool for de novo modeling of protein structure in near-atomic resolution cryoEM density maps. Here, we present the latest developments in Pathwalking, including the addition of probabilistic models, as well as a companion tool for modeling waters and ligands. This software was evaluated on the 2021 CryoEM Ligand Challenge density maps, in addition to identifying ligands in three IPR1 density maps at ~3 Å to 4.1 Å resolution. The results clearly demonstrate that the Pathwalking de novo modeling pipeline can construct accurate protein structures and reliably localize and identify ligand density directly from a near-atomic resolution map.
单颗粒电子冷冻显微镜(cryoEM)已成为研究大分子组装体结构和功能的不可或缺的工具。作为 cryoEM 结构测定过程的一个组成部分,已经开发了计算工具,可以直接从密度图构建原子模型,而无需结构模板。大约十年前,我们创建了 Pathwalking,这是一种用于在近原子分辨率 cryoEM 密度图中从头建模蛋白质结构的工具。在这里,我们介绍了 Pathwalking 的最新进展,包括添加概率模型,以及用于建模水和配体的配套工具。该软件在 2021 年 cryoEM 配体挑战赛密度图上进行了评估,此外还在 ~3 Å 至 4.1 Å 分辨率的三个 IPR1 密度图中鉴定了配体。结果清楚地表明,Pathwalking 从头建模管道可以从近原子分辨率的图谱中构建准确的蛋白质结构,并可靠地定位和识别配体密度。