Deep Ranking in Template-free Protein Structure Prediction
Author:
Affiliation:
1. Dept of Electrical Engineering and Computer Science, University of Missouri, Columbia
2. Dept of Computer Science, George Mason University
3. Dept of Computer Science, Saint Louis University
Funder
National Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3388440.3412469
Reference56 articles.
1. DNCON2: improved protein contact prediction using two-level deep convolutional neural networks;Cheng J.;Bioinformatics,2017
2. An Energy Landscape Treatment of Decoy Selection in Template-Free Protein Structure Prediction
3. From Extraction of Local Structures of Protein Energy Landscapes to Improved Decoy Selection in Template-Free Protein Structure Prediction
4. Can correct protein models be identified?
5. Announcing the worldwide Protein Data Bank
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