Deep Learning to Predict Protein Backbone Structure from High-Resolution Cryo-EM Density Maps
Deep Learning to Predict Protein Backbone Structure from High-Resolution Cryo-EM Density Maps
复制标题
DOI：
10.1038/s41598-020-60598-y
复制
发表时间：
2020-03-09
影响因子：
4.6
通讯作者：
Cheng, Jianlin
中科院分区：
文献类型：
--
作者：
Si, Dong;Moritz, Spencer A.;Cheng, Jianlin
低温电子显微镜(Cryo-EM)已经成为确定蛋白质结构的领先技术。这一领域的最新进展使原子分辨成为可能。然而，除了最原始的密度图外，预测蛋白质的骨架痕迹一直是一项挑战。
Cryo-electron microscopy (cryo-EM) has become a leading technology for determining protein structures. Recent advances in this field have allowed for atomic resolution. However, predicting the backbone trace of a protein has remained a challenge on all but the most pristine density maps (