Structure Sorting of Multiple Macromolecular States in Heterogeneous Cryo-EM Samples by 3D Multivariate Statistical Analysis

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Open Journal of Statistics

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"Structure Sorting of Multiple Macromolecular States in Heterogeneous Cryo-EM Samples by 3D Multivariate Statistical Analysis"
written by Bruno P. Klaholz,
published by Open Journal of Statistics, Vol.5 No.7, 2015

has been cited by the following article(s):

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[12]	Structural basis for safe and efficient energy conversion in a respiratory supercomplex
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[16]	Structural studies of vitrified biological proteins and macromolecules–A review on the microimaging aspects of cryo-electron microscopy
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[17]	Computational Methods for Single-Particle Electron Cryomicroscopy
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[2]	Analysis of the Conformational Landscape of the N-Domains of the AAA ATPase p97: Disentangling the Continuous Conformational Variability in Partially Symmetrical Complexes International Journal of Molecular Sciences, 2024 DOI:10.3390/ijms25063371

[3]	α-Latrotoxin Tetramers Spontaneously Form Two-Dimensional Crystals in Solution and Coordinated Multi-Pore Assemblies in Biological Membranes Toxins, 2024 DOI:10.3390/toxins16060248

[4]	The structure of the human 80S ribosome at 1.9 Å resolution reveals the molecular role of chemical modifications and ions in RNA Nature Structural & Molecular Biology, 2024 DOI:10.1038/s41594-024-01274-x

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[6]	High-resolution cryo-EM performance comparison of two latest-generation cryo electron microscopes on the human ribosome Journal of Structural Biology, 2023 DOI:10.1016/j.jsb.2022.107905

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[9]	High-resolution cryo-EM performance comparison of two latest-generation cryo electron microscopes on the human ribosome Journal of Structural Biology, 2023 DOI:10.1016/j.jsb.2022.107905

[10]	High-resolution cryo-EM performance comparison of two latest-generation cryo electron microscopes on the human ribosome Journal of Structural Biology, 2023 DOI:10.1016/j.jsb.2022.107905

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[12]	MDSPACE: Extracting Continuous Conformational Landscapes from Cryo-EM Single Particle Datasets Using 3D-to-2D Flexible Fitting based on Molecular Dynamics Simulation Journal of Molecular Biology, 2023 DOI:10.1016/j.jmb.2023.167951

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[14]	Quantitative mining of compositional heterogeneity in cryo-EM datasets of ribosome assembly intermediates Structure, 2022 DOI:10.1016/j.str.2021.12.005

[15]	Emerging Themes in CryoEM─Single Particle Analysis Image Processing Chemical Reviews, 2022 DOI:10.1021/acs.chemrev.1c00850

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[17]	Structural basis for safe and efficient energy conversion in a respiratory supercomplex Nature Communications, 2022 DOI:10.1038/s41467-022-28179-x

[18]	Quantitative mining of compositional heterogeneity in cryo-EM datasets of ribosome assembly intermediates Structure, 2022 DOI:10.1016/j.str.2021.12.005

[19]	Quantitative mining of compositional heterogeneity in cryo-EM datasets of ribosome assembly intermediates Structure, 2022 DOI:10.1016/j.str.2021.12.005

[20]	Identification of Mg2+ ions next to nucleotides in cryo-EM maps using electrostatic potential maps Acta Crystallographica Section D Structural Biology, 2021 DOI:10.1107/S2059798321001893

[21]	Computational Methods for Single-Particle Electron Cryomicroscopy Annual Review of Biomedical Data Science, 2020 DOI:10.1146/annurev-biodatasci-021020-093826

[22]	Hybrid Electron Microscopy Normal Mode Analysis with Scipion Protein Science, 2020 DOI:10.1002/pro.3772

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[25]	Survey of the analysis of continuous conformational variability of biological macromolecules by electron microscopy Acta Crystallographica Section F Structural Biology Communications, 2019 DOI:10.1107/S2053230X18015108

[26]	Hands on Methods for High Resolution Cryo-Electron Microscopy Structures of Heterogeneous Macromolecular Complexes Frontiers in Molecular Biosciences, 2019 DOI:10.3389/fmolb.2019.00033

[27]	Deriving and refining atomic models in crystallography and cryo-EM: the latest Phenix tools to facilitate structure analysis Acta Crystallographica Section D Structural Biology, 2019 DOI:10.1107/S2059798319013391

[28]	Volta phase plate data collection facilitates image processing and cryo-EM structure determination Journal of Structural Biology, 2018 DOI:10.1016/j.jsb.2018.01.003

[29]	Visualizing the Role of 2’-OH rRNA Methylations in the Human Ribosome Structure Biomolecules, 2018 DOI:10.3390/biom8040125

[30]	Latest advances in image processing for single particle analysis by electron cryomicroscopy and challenges ahead Current Opinion in Structural Biology, 2018 DOI:10.1016/j.sbi.2018.11.004

[31]	Visualizing the Role of 2’-OH rRNA Methylations in the Human Ribosome Structure Biomolecules, 2018 DOI:10.3390/biom8040125

[32]	The integrative role of cryo electron microscopy in molecular and cellular structural biology Biology of the Cell, 2017 DOI:10.1111/boc.201600042

[33]	Computational methods for analyzing conformational variability of macromolecular complexes from cryo-electron microscopy images Current Opinion in Structural Biology, 2017 DOI:10.1016/j.sbi.2016.12.011

[34]	Cryo-electron microscopy and X-ray crystallography: complementary approaches to structural biology and drug discovery Acta Crystallographica Section F Structural Biology Communications, 2017 DOI:10.1107/S2053230X17003740

[35]	The integrative role of cryo electron microscopy in molecular and cellular structural biology Biology of the Cell, 2017 DOI:10.1111/boc.201600042

[36]	Structure–function insights reveal the human ribosome as a cancer target for antibiotics Nature Communications, 2016 DOI:10.1038/ncomms12856

[37]	Local analysis of strains and rotations for macromolecular electron microscopy maps Journal of Structural Biology, 2016 DOI:10.1016/j.jsb.2016.04.001

[38]	Structure–function insights reveal the human ribosome as a cancer target for antibiotics Nature Communications, 2016 DOI:10.1038/ncomms12856

[39]	Multivariate Statistical Analysis of Large Datasets: Single Particle Electron Microscopy Open Journal of Statistics, 2016 DOI:10.4236/ojs.2016.64059

[40]	Cryo-electron Microscopy Analysis of Structurally Heterogeneous Macromolecular Complexes Computational and Structural Biotechnology Journal, 2016 DOI:10.1016/j.csbj.2016.10.002

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