Advances in image processing for single-particle analysis by electron cryomicroscopy and challenges ahead-Reference-Cited by-同舟云学术

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Advances in image processing for single-particle analysis by electron cryomicroscopy and challenges ahead

Published:2018-10 Issue: Volume:52 Page:127-145
ISSN:0959-440X
Container-title:Current Opinion in Structural Biology
language:en
Short-container-title:Current Opinion in Structural Biology

Author:

Vilas J.L.,Tabassum N.,Mota J.,Maluenda D.,Jiménez-Moreno A.,Majtner T.,Carazo J.M.,Acton S.T.,Sorzano C.O.S.

Funder

Spanish Ministry of Economy and Competitiveness

Comunidad Autonoma de Madrid

Instituto de Salud Carlos III

European Union

Publisher

Elsevier BV

Subject

Molecular Biology,Structural Biology

Reference178 articles.

1. Breaking cryo-EM resolution barriers to facilitate drug discovery;Merk;Cell,2016

2. Principles of protein structural ensemble determination;Bonomi;Curr Opin Struct Biol,2017

3. Time-resolved cryo-electron microscopy: recent progress;Frank;J Struct Biol,2017

4. Computational methods for analyzing conformational variability of macromolecular complexes from cryo-electron microscopy images;Jonic;Curr Opin Struct Biol,2017

5. The potential use of single-particle electron microscopy as a tool for structure-based inhibitor design;Rawson;Acta Crystrallogr D,2017

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparative Analysis of Symmetry Parameters in the E2 inner core of the pyruvate dehydrogenase complex;2024-02-07

2. Targeting structural flexibility in low density lipoprotein by integrating cryo-electron microscopy and high-speed atomic force microscopy;International Journal of Biological Macromolecules;2023-12

3. Unsupervised Cryo-EM Images Denoising and Clustering Based on Deep Convolutional Autoencoder and K-Means++;IEEE Transactions on Medical Imaging;2023-05

4. Atomic-Resolution Imaging of Small Organic Molecules on Graphene;Nano Letters;2022-04-12

5. Heterogeneous cryo-EM projection image classification using a two-stage spectral clustering based on novel distance measures;Briefings in Bioinformatics;2022-03-07

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