Redeployment of automated MrBUMP searchmodel identification for map fitting in cryo-EM

被引:1
|
作者
Simpkin, Adam J. [1 ]
Winn, Martyn D. [2 ]
Rigden, Daniel J. [1 ]
Keegan, Ronan M. [2 ]
机构
[1] Univ Liverpool, Inst Struct Mol & Integrat Biol, Liverpool L69 7ZB, Merseyside, England
[2] Res Complex Harwell, UKRI STFC, Rutherford Appleton Lab, Didcot OX11 0FA, Oxon, England
来源
ACTA CRYSTALLOGRAPHICA SECTION D-STRUCTURAL BIOLOGY | 2021年 / 77卷
基金
英国生物技术与生命科学研究理事会;
关键词
MrBUMP; molecular replacement; cryo-EM; GroEL; MOLECULAR-REPLACEMENT; CRYSTAL-STRUCTURES; TRUNCATE APPROACH; ATOMIC MODELS; REFINEMENT; GROEL; AMPLE; VALIDATION; ACCURACY; SERVER;
D O I
10.1107/S2059798321009165
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
In crystallography, the phase problem can often be addressed by the careful preparation of molecular-replacement search models. This has led to the development of pipelines such as MrBUMP that can automatically identify homologous proteins from an input sequence and edit them to focus on the areas that are most conserved. Many of these approaches can be applied directly to cryo-EM to help discover, prepare and correctly place models (here called cryo-EM search models) into electrostatic potential maps. This can significantly reduce the amount of manual model building that is required for structure determination. Here, MrBUMP is repurposed to fit automatically obtained PDB-derived chains and domains into cryo-EM maps. MrBUMP was successfully able to identify and place cryo-EM search models across a range of resolutions. Methods such as map segmentation are also explored as potential routes to improved performance. Map segmentation was also found to improve the effectiveness of the pipeline for higher resolution (<8 angstrom) data sets.
引用
收藏
页码:1378 / 1385
页数:8
相关论文
共 50 条
  • [21] Electron scattering properties of biological macromolecules and their use for cryo-EM map sharpening
    Bharadwaj, Alok
    Jakobi, Arjen J.
    FARADAY DISCUSSIONS, 2022, 240 (00) : 168 - 183
  • [22] Single particle cryo-EM map and model validation: It's not crystal clear
    Lander, Gabriel C.
    CURRENT OPINION IN STRUCTURAL BIOLOGY, 2024, 89
  • [23] DeepQs: Local quality assessment of cryo-EM density map by deep learning map-model fit score
    Feng, Ming-Feng
    Chen, Yu-Xuan
    Shen, Hong-Bin
    JOURNAL OF STRUCTURAL BIOLOGY, 2024, 216 (01)
  • [24] DeepPicker: A deep learning approach for fully automated particle picking in cryo-EM
    Wang, Feng
    Gong, Huichao
    Liu, Gaochao
    Li, Meijing
    Yan, Chuangye
    Xia, Tian
    Li, Xueming
    Zeng, Jianyang
    JOURNAL OF STRUCTURAL BIOLOGY, 2016, 195 (03) : 325 - 336
  • [25] An automated Cryo-EM computational environment on the HPC system using Pegasus WMS
    Osinski, Tomasz
    Rynge, Mats
    Hong, James K.
    Vahi, Karan
    Chu, Ruilin
    Sul, Cesar
    Deelman, Ewa
    Kim, Byoung-Do
    2022 IEEE/ACM WORKSHOP ON WORKFLOWS IN SUPPORT OF LARGE-SCALE SCIENCE, WORKS, 2022, : 60 - 67
  • [26] Identification of incorrectly oriented particles in cryo-EM single particle analysis
    Mendez, Jeison
    Garduno, Edgar
    Maria Carazo, Jose
    Sorzano, Carlos Oscar S.
    JOURNAL OF STRUCTURAL BIOLOGY, 2021, 213 (03)
  • [27] Fitting Atomic Structures into Cryo-EM Maps by Coupling Deep Learning-Enhanced Map Processing with Global-Local Optimization
    Cai, Yaxian
    Zhang, Ziying
    Xu, Xiangyu
    Xu, Liang
    Chen, Yu
    Zhang, Guijun
    Zhou, Xiaogen
    JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2025, : 3800 - 3811
  • [28] Auto3DCryoMap: an automated particle alignment approach for 3D cryo-EM density map reconstruction
    Adil Al-Azzawi
    Anes Ouadou
    Ye Duan
    Jianlin Cheng
    BMC Bioinformatics, 21
  • [29] Combining Cryo-EM Density Map and Residue Contact for Protein Secondary Structure Topologies
    Alshammari, Maytha
    He, Jing
    MOLECULES, 2021, 26 (22):
  • [30] Segmentation and Comparative Modeling in an 8.6-Å Cryo-EM Map of the Singapore Grouper Iridovirus
    Pintilie, Grigore
    Chen, Dong-Hua
    Bich Ngoc Tran
    Jakana, Joanita
    Wu, Jinlu
    Hew, Choy Leong
    Chiu, Wah
    STRUCTURE, 2019, 27 (10) : 1561 - +