CryoDRGN: reconstruction of heterogeneous cryo-EM structures using neural networks

Ellen D. Zhong(Massachusetts Institute of Technology), Tristan Bepler(Massachusetts Institute of Technology), Bonnie Berger(Massachusetts Institute of Technology), Joseph H. Davis(Massachusetts Institute of Technology)
Nature Methods
February 1, 2021
10.1038/s41592-020-01049-4
Cited by 678Open Access
Full Text

Abstract

Related Papers

Scikit-learn: Machine Learning in Python
Fabián Pedregosa, Gaël Varoquaux, Alexandre Gramfort et al.|arXiv (Cornell University)|2012|63.7k
The PyMOL Molecular Graphics System
Warren L. DeLano|Medical Entomology and Zoology|2002|18.1k
Auto-Encoding Variational Bayes
Diederik P. Kingma, Max Welling|UvA-DARE (University of Amsterdam)|2013|15.6k
International Conference on Learning Representations (ICLR 2013)
豊 松尾|人工知能学会誌 = Journal of Japanese Society for Artificial Intelligence|2013|6.3k
RELION: Implementation of a Bayesian approach to cryo-EM structure determination
Sjors H. W. Scheres|Journal of Structural Biology|2012|6k