A Graph Based Method for the Prediction of Backbone Trace from Cryo-EM Density Maps
Author:
Affiliation:
1. University of Washington Bothell, Bothell, WA, USA
Funder
Graduate Research Award from the Computing and Software Systems division of University of Washington Bothell
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3107411.3107501
Reference7 articles.
1. Identification of Secondary Structure Elements in Intermediate-Resolution Density Maps
2. Tracing Beta Strands Using StrandTwister from Cryo-EM Density Maps at Medium Resolutions
3. Modeling Beta-Traces for Beta-Barrels from Cryo-EM Density Maps
4. A Machine Learning Approach for the Identification of Protein Secondary Structure Elements from Electron Cryo-Microscopy Density Maps
5. De novo protein structure determination from near-atomic-resolution cryo-EM maps;Yu-Ruei Wang Ray;Nature Methods,2015
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1. Smart de novo Macromolecular Structure Modeling from Cryo-EM Maps;Journal of Molecular Biology;2023-05
2. Deep Learning to Predict Protein Backbone Structure from High-Resolution Cryo-EM Density Maps;Scientific Reports;2020-03-09
3. Cryo‐EM map interpretation and protein model‐building using iterative map segmentation;Protein Science;2019-10-24
4. Map segmentation, automated model-building and their application to the Cryo-EM Model Challenge;Journal of Structural Biology;2018-11
5. EMNets;Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics;2018-08-15
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