Deep Learning to Predict Protein Backbone Structure from High-Resolution Cryo-EM Density Maps
出版年份 2020 全文链接
标题
Deep Learning to Predict Protein Backbone Structure from High-Resolution Cryo-EM Density Maps
作者
关键词
-
出版物
Scientific Reports
Volume 10, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-03-09
DOI
10.1038/s41598-020-60598-y
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Cryo-EM structures of Helicobacter pylori vacuolating cytotoxin A oligomeric assemblies at near-atomic resolution
- (2019) Kaiming Zhang et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Atomic Resolution Cryo-EM Structure of β-Galactosidase
- (2018) Alberto Bartesaghi et al. STRUCTURE
- De novo main-chain modeling for EM maps using MAINMAST
- (2018) Genki Terashi et al. Nature Communications
- Automated map sharpening by maximization of detail and connectivity
- (2018) Thomas C. Terwilliger et al. Acta Crystallographica Section D-Structural Biology
- Cryo-EM structures and dynamics of substrate-engaged human 26S proteasome
- (2018) Yuanchen Dong et al. NATURE
- A fully automatic method yielding initial models from high-resolution cryo-electron microscopy maps
- (2018) Thomas C. Terwilliger et al. NATURE METHODS
- Structures of Coxsackievirus A10 unveil the molecular mechanisms of receptor binding and viral uncoating
- (2018) Ling Zhu et al. Nature Communications
- Breaking Cryo-EM Resolution Barriers to Facilitate Drug Discovery
- (2016) Alan Merk et al. CELL
- Cryo-EM structure of the open high-conductance Ca2+-activated K+ channel
- (2016) Xiao Tao et al. NATURE
- A Stochastic Point Cloud Sampling Method for Multi-Template Protein Comparative Modeling
- (2016) Jilong Li et al. Scientific Reports
- Protein single-model quality assessment by feature-based probability density functions
- (2016) Renzhi Cao et al. Scientific Reports
- Cryo-EM: A Unique Tool for the Visualization of Macromolecular Complexity
- (2015) Eva Nogales et al. MOLECULAR CELL
- Cryo-electron microscopy structure of the Slo2.2 Na+-activated K+ channel
- (2015) Richard K. Hite et al. NATURE
- Deep learning
- (2015) Yann LeCun et al. NATURE
- De novo protein structure determination from near-atomic-resolution cryo-EM maps
- (2015) Ray Yu-Ruei Wang et al. NATURE METHODS
- How cryo-EM is revolutionizing structural biology
- (2015) Xiao-chen Bai et al. TRENDS IN BIOCHEMICAL SCIENCES
- Structure of the rabbit ryanodine receptor RyR1 at near-atomic resolution
- (2014) Zhen Yan et al. NATURE
- Tracing Beta Strands Using StrandTwister from Cryo-EM Density Maps at Medium Resolutions
- (2014) Dong Si et al. STRUCTURE
- Structure of the TRPV1 ion channel determined by electron cryo-microscopy
- (2013) Maofu Liao et al. NATURE
- High-Resolution Comparative Modeling with RosettaCM
- (2013) Yifan Song et al. STRUCTURE
- A Machine Learning Approach for the Identification of Protein Secondary Structure Elements from Electron Cryo-Microscopy Density Maps
- (2012) Dong Si et al. BIOPOLYMERS
- Rapid chain tracing of polypeptide backbones in electron-density maps
- (2010) Thomas C. Terwilliger ACTA CRYSTALLOGRAPHICA SECTION D-BIOLOGICAL CRYSTALLOGRAPHY
- Rapid model building of α-helices in electron-density maps
- (2010) Thomas C. Terwilliger ACTA CRYSTALLOGRAPHICA SECTION D-BIOLOGICAL CRYSTALLOGRAPHY
- Improved prediction of protein side-chain conformations with SCWRL4
- (2009) Georgii G. Krivov et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Fast procedure for reconstruction of full-atom protein models from reduced representations
- (2008) Piotr Rotkiewicz et al. JOURNAL OF COMPUTATIONAL CHEMISTRY
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started