SEGEM: a Fast and Accurate Automated Protein Backbone Structure Modeling Method for Cryo-EM-Reference-Cited by-同舟云学术

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SEGEM: a Fast and Accurate Automated Protein Backbone Structure Modeling Method for Cryo-EM

Published:2021-12-09 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Chen Sheng,Zhang Sen,Li Xiongjun,Liu Yubao,Yang Yuedong

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9669261/9669139/09669647.pdf?arnumber=9669647

Reference34 articles.

1. Biological insights from topology independent comparison of protein 3D structures

2. EMAN2: An extensible image processing suite for electron microscopy

3. Accurate prediction of protein contact maps by coupling residual two-dimensional bidirectional long short-term memory with convolutional neural networks

4. Tools for Model Building and Optimization into Near-Atomic Resolution Electron Cryo-Microscopy Density Maps

5. Advances in the molecular dynamics flexible fitting method for cryo-EM modeling

Cited by 2 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. Deep Learning Segmentation of Protein EM Maps;2023 IEEE 5th International Conference on BioInspired Processing (BIP);2023-11-28

2. Integrating AlphaFold and deep learning for atomistic interpretation of cryo-EM maps;Briefings in Bioinformatics;2023-09-22

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