AIMC Topic: Cryoelectron Microscopy
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EMNUSS: a deep learning framework for secondary structure annotation in cryo-EM maps.
Briefings in bioinformatics
Nov 5, 2021
Cryo-electron microscopy (cryo-EM) has become one of important experimental methods in structure determination. However, despite the rapid growth in the number of deposited cryo-EM maps motivated by advances in microscopy instruments and image proces...
DeepTracer for fast de novo cryo-EM protein structure modeling and special studies on CoV-related complexes.
Proceedings of the National Academy of Sciences of the United States of America
Jan 12, 2021
Information about macromolecular structure of protein complexes and related cellular and molecular mechanisms can assist the search for vaccines and drug development processes. To obtain such structural information, we present DeepTracer, a fully aut...
Deep-learning with synthetic data enables automated picking of cryo-EM particle images of biological macromolecules.
Bioinformatics (Oxford, England)
Feb 15, 2020
MOTIVATION: Single-particle cryo-electron microscopy (cryo-EM) has become a powerful technique for determining 3D structures of biological macromolecules at near-atomic resolution. However, this approach requires picking huge numbers of macromolecula...
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