Automatic Detection of Beta-barrel from Medium Resolution Cryo-EM Density Maps
Author:
Affiliation:
1. University of Washington Bothell, Bothell, WA, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2975167.2975183
Reference46 articles.
1. Electron Cryomicroscopy of Biological Machines at Subnanometer Resolution
2. Atomic resolution cryo electron microscopy of macromolecular complexes
3. 2.9 Å Resolution Cryo-EM 3D Reconstruction of Close-Packed Virus Particles
Cited by 5 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. Integrating model simulation tools andcryo‐electronmicroscopy;WIREs Computational Molecular Science;2022-11-21
2. Beta-Barrel Detection for Medium Resolution Cryo-Electron Microscopy Density Maps Using Genetic Algorithms and Ray Tracing;Journal of Computational Biology;2018-03
3. GPU Accelerated Ray Tracing for the Beta-Barrel Detection from Three-Dimensional Cryo-EM Maps;Bioinformatics Research and Applications;2018
4. A Graph Based Method for the Prediction of Backbone Trace from Cryo-EM Density Maps;Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics;2017-08-20
5. Genetic Algorithm Based Beta-Barrel Detection for Medium Resolution Cryo-EM Density Maps;Bioinformatics Research and Applications;2017
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