TEMPy2: a Python']Python library with improved 3D electron microscopy density-fitting and validation workflows

被引:23
|
作者
Cragnolini, Tristan [1 ]
Sahota, Harpal [1 ]
Joseph, Agnel Praveen [1 ,5 ]
Sweeney, Aaron [1 ]
Malhotra, Sony [1 ]
Vasishtan, Daven [2 ]
Topf, Maya [1 ,3 ,4 ]
机构
[1] Birkbeck Univ Coll London, Inst Struct & Mol Biol, London, England
[2] Univ Oxford, Oxford Particle Imaging Ctr, Wellcome Trust Ctr Human Genet, Div Struct Biol, Oxford, England
[3] Leibniz Inst Expt Virol, Heinrich Pette Inst, Ctr Struct Syst Biol, Hamburg, Germany
[4] Univ Klinikum Hamburg Eppendorf, Hamburg, Germany
[5] Res Complex Harwell, Sci & Technol Facil Council, Didcot, Oxon, England
基金
英国惠康基金; 英国生物技术与生命科学研究理事会; 英国医学研究理事会;
关键词
three-dimensional electron microscopy; model fitting; validation; fitting scores; model assessment; macromolecular complexes; TEMPy2; EM RECONSTRUCTIONS; RESOLUTION; MODEL; REFINEMENT; MAPS; FIT;
D O I
10.1107/S2059798320014928
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Structural determination of molecular complexes by cryo-EM requires large, often complex processing of the image data that are initially obtained. Here, TEMPy2, an update of the TEMPy package to process, optimize and assess cryo-EM maps and the structures fitted to them, is described. New optimization routines, comprehensive automated checks and workflows to perform these tasks are described.
引用
收藏
页码:41 / 47
页数:7
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