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Cryo-EM is a vital technique for determining 3D structure of biological molecules such as proteins and viruses.
Three-dimensional structure determination from common lines in cryo-em by eigenvectors and semidefinite programming
Amit Singer and Yoel Shkolnisky · 2011
Earlier work this paper cites.
Relion: implementation of a bayesian approach to cryo-em structure determination
Sjors HW Scheres · 2012
Earlier work this paper cites.
Cryo-em structure of the plasmodium falciparum 80s ribosome bound to the anti-protozoan drug emetine
Wilson Wong, Xiao-chen Bai, Alan Brown, Israel S Fernandez, Eric Hanssen, Melanie Condron, Yan Hong Tan, Jake Baum, and Sjors HW Scheres · 2014
Earlier work this paper cites.
Structure of a pre-catalytic spliceosome
Clemens Plaschka, Pei-Chun Lin, and Kiyoshi Nagai · 2017
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cryosparc: algorithms for rapid unsupervised cryo-em structure determination
Ali Punjani, John L Rubinstein, David J Fleet, and Marcus A Brubaker · 2017
Earlier work this paper cites.
Explorations in homeomorphic variational auto-encoding
Luca Falorsi, Pim De Haan, Tim R Davidson, Nicola De Cao, Maurice Weiler, Patrick Forré, and Taco S Cohen · 2018
Earlier work this paper cites.
Explicitly disentangling image content from translation and rotation with spatial-vae
Tristan Bepler, Ellen Zhong, Kotaro Kelley, Edward Brignole, and Bonnie Berger · 2019
Earlier work this paper cites.
General E(2)-equivariant steerable CNNs
Maurice Weiler and Gabriele Cesa · 2019
Cited alongside, same era.
An analysis of svd for deep rotation estimation
Jake Levinson, Carlos Esteves, Kefan Chen, Noah Snavely, Angjoo Kanazawa, Afshin Rostamizadeh, and Ameesh Makadia · 2020
Cited alongside, same era.
Estimation of orientation and camera parameters from cryo-electron microscopy images with variational autoencoders and generative adversarial networks
Nina Miolane, Frédéric Poitevin, Yee-Ting Li, and Susan Holmes · 2020
Cited alongside, same era.
Computational methods for single-particle electron cryomicroscopy
Amit Singer and Fred J Sigworth · 2020
Cited alongside, same era.
Implicit neural representations with periodic activation functions
Vincent Sitzmann, Julien Martel, Alexander Bergman, David Lindell, and Gordon Wetzstein · 2020
Cited alongside, same era.
Deep generative modeling for volume reconstruction in cryo-electron microscopy
Claire Donnat, Axel Levy, Frederic Poitevin, Ellen D Zhong, and Nina Miolane · 2022
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Unsupervised object representation learning using translation and rotation group equivariant vae
Alireza Nasiri and Tristan Bepler · 2022
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Equivariant self-supervised deep pose estimation for Cryo EM
Gabriele Cesa, Kumar Pratik, and Arash Behboodi · 2023
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Topological obstructions and how to avoid them
Babak Esmaeili, Robin Walters, Heiko Zimmermann, and Jan-Willem van de Meent · 2023
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Deep learning for reconstructing protein structures from cryo-em density maps: Recent advances and future directions
Nabin Giri, Raj S Roy, and Jianlin Cheng · 2023
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Youssef SG Nashed, Frédéric Poitevin, Harshit Gupta, Geoffrey Woollard, Michael Kagan, Chun Hong Yoon, and Daniel Ratner · 2021
Cited alongside, same era.
Inferring a continuous distribution of atom coordinates from cryo-em images using vaes
Dan Rosenbaum, Marta Garnelo, Michal Zielinski, Charlie Beattie, Ellen Clancy, Andrea Huber, Pushmeet Kohli, Andrew W Senior, John Jumper, Carl Doersch, et al · 2021
Cited alongside, same era.
On the symmetries of the synchronization problem in cryo-em: Multi-frequency vector diffusion maps on the projective plane
Gabriele Cesa, Arash Behboodi, Taco S Cohen, and Max Welling
Cited in the paper.
A program to build E(N)-equivariant steerable CNNs
Gabriele Cesa, Leon Lang, and Maurice Weiler
Cited in the paper.
Group equivariant convolutional networks
Taco Cohen and Max Welling
Cited in the paper.
Taco S Cohen and Max Welling
Cited in the paper.
Cryoai: Amortized inference of poses for ab initio reconstruction of 3d molecular volumes from real cryo-em images
Axel Levy, Frédéric Poitevin, Julien Martel, Youssef Nashed, Ariana Peck, Nina Miolane, Daniel Ratner, Mike Dunne, and Gordon Wetzstein
Cited in the paper.
So (3)-equivariant representation learning in 2d images
Darnell Granberry, Simons Machine Learning Center, Alireza Nasiri, Jiayi Shou, Alex J Noble, and Tristan Bepler · 2023
Later among the works it cites.
Ucsf chimerax: Tools for structure building and analysis
Elaine C Meng, Thomas D Goddard, Eric F Pettersen, Greg S Couch, Zach J Pearson, John H Morris, and Thomas E Ferrin · 2023
Later among the works it cites.