Selected article for: "cryo em and solve structure"
Author: Yan Gao; Liming Yan; Yucen Huang; Fengjiang Liu; Yao Zhao; Lin Cao; Tao Wang; Qianqian Sun; Zhenhua Ming; Lianqi Zhang; Ji Ge; Litao Zheng; Ying Zhang; Haofeng Wang; Yan Zhu; Chen Zhu; Tianyu Hu; Tian Hua; Bing Zhang; Xiuna Yang; Jun Li; Haitao Yang; Zhijie Liu; Wenqing Xu; Luke W. Guddat; Quan Wang; Zhiyong Lou; Zihe Rao
Title: Structure of RNA-dependent RNA polymerase from 2019-nCoV, a major antiviral drug target
  • Document date: 2020_3_17
    • ID: glfxrla9_25
    Snippet: Model building and refinement To solve the structure of the 2019-nCoV nsp12-nsp7-nsp8 complex, the structure of the 10 SARS-CoV nsp12 (24) and nsp7-8 (25) were individually placed and rigid-body fitted into the cryo-EM map using UCSF Chimera (26). After the corresponding amino acids were replaced with those from 2019-nCoV, the model was manually built in Coot (27) with the guidance of the cryo-EM map, and in combination with real space refinement.....
    Document: Model building and refinement To solve the structure of the 2019-nCoV nsp12-nsp7-nsp8 complex, the structure of the 10 SARS-CoV nsp12 (24) and nsp7-8 (25) were individually placed and rigid-body fitted into the cryo-EM map using UCSF Chimera (26). After the corresponding amino acids were replaced with those from 2019-nCoV, the model was manually built in Coot (27) with the guidance of the cryo-EM map, and in combination with real space refinement with Phenix (28). The data validation statistics are shown in Table S1 .

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