The accuracy of protein models automatically built into cryo-EM maps with ARP/wARP

被引:13
|
作者
Chojnowski, Grzegorz [1 ]
Sobolev, Egor [1 ,2 ]
Heuser, Philipp [1 ,3 ]
Lamzin, Victor S. [1 ]
机构
[1] DESY, European Mol Biol Lab, Notkestr 85, D-22607 Hamburg, Germany
[2] European XFEL GmbH, Holzkoppel 4, D-22869 Schenefeld, Germany
[3] DESY, Notkestr 85, D-22607 Hamburg, Germany
基金
欧盟地平线“2020”;
关键词
ARP/wARP; model building; cryo-EM; model accuracy; sequence assignment;
D O I
10.1107/S2059798320016332
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Recent developments in cryogenic electron microscopy (cryo-EM) have enabled structural studies of large macromolecular complexes at resolutions previously only attainable using macromolecular crystallography. Although a number of methods can already assist in de novo building of models into high-resolution cryo-EM maps, automated and reliable map interpretation remains a challenge. Presented here is a systematic study of the accuracy of models built into cryo-EM maps using ARP/wARP. It is demonstrated that the local resolution is a good indicator of map interpretability, and for the majority of the test cases ARP/wARP correctly builds 90% of main-chain fragments in regions where the local resolution is 4.0 angstrom or better. It is also demonstrated that the coordinate accuracy for models built into cryo-EM maps is comparable to that of X-ray crystallographic models at similar local cryo-EM and crystallographic resolutions. The model accuracy also correlates with the refined atomic displacement parameters.
引用
收藏
页码:142 / 150
页数:9
相关论文
共 50 条
  • [21] High-Resolution Cryo-EM Maps and Models: A Crystallographer's Perspective
    Wlodawer, Alexander
    Li, Mi
    Dauter, Zbigniew
    STRUCTURE, 2017, 25 (10) : 1589 - +
  • [22] A fragment based method for modeling of protein segments into cryo-EM density maps
    Ismer, Jochen
    Rose, Alexander S.
    Tiemann, Johanna K. S.
    Hildebrand, Peter W.
    BMC BIOINFORMATICS, 2017, 18
  • [23] Cryo-EM: Protein complexes in focus
    Glaeser, Robert M.
    ELIFE, 2016, 5
  • [24] A fragment based method for modeling of protein segments into cryo-EM density maps
    Jochen Ismer
    Alexander S. Rose
    Johanna K. S. Tiemann
    Peter W. Hildebrand
    BMC Bioinformatics, 18
  • [25] GemSpot allows modeling of ligands in cryo-EM maps
    Arunima Singh
    Nature Methods, 2020, 17 : 656 - 656
  • [26] Enhancement of Cryo-EM maps by a multiscale tubular filter
    Vargas, Javier
    Gomez-Pedrero, Jose A.
    Antonio Quiroga, J.
    Alonso, Jose
    OPTICS EXPRESS, 2022, 30 (03) : 4515 - 4527
  • [27] ANALYSES OF SUBNANOMETER RESOLUTION CRYO-EM DENSITY MAPS
    Baker, Matthew L.
    Baker, Mariah R.
    Hryc, Corey F.
    DiMaio, Frank
    METHODS IN ENZYMOLOGY, VOL 483: CRYO-EM, PART C: ANALYSES, INTERPRETATION, AND CASE STUDIES, 2010, 483 : 1 - 29
  • [28] Quantifying the local resolution of cryo-EM density maps
    Kucukelbir A.
    Sigworth F.J.
    Tagare H.D.
    Nature Methods, 2014, 11 (1) : 63 - 65
  • [29] Quality vs. Resolution in Cryo-EM Maps
    Stagg, Scott M.
    ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES, 2019, 75 : A412 - A412
  • [30] Automated Threshold Selection for Cryo-EM Density Maps
    Pfab, Jonas
    Si, Dong
    ACM-BCB'19: PROCEEDINGS OF THE 10TH ACM INTERNATIONAL CONFERENCE ON BIOINFORMATICS, COMPUTATIONAL BIOLOGY AND HEALTH INFORMATICS, 2019, : 161 - 166