<p>Redundancy-weighting the PDB for Detailed SSP with applications in EMA</p>

Tomer Sidi; Chen Keasar

doi:10.7490/f1000research.1118258.1

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Sidi T and Keasar C. Redundancy-weighting the PDB for Detailed SSP with applications in EMA [version 1; not peer reviewed]. F1000Research 2020, 9(ISCB Comm J):1001 (slides) (https://doi.org/10.7490/f1000research.1118258.1)

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Redundancy-weighting the PDB for Detailed SSP with applications in EMA

Tomer Sidi, Chen Keasar¹

Published 19 Aug 2020 (https://doi.org/10.7490/f1000research.1118258.1)

Author Affiliations

¹ Ben-Gurion University of the Negev, Israel

Copyright © 2020 Sidi T and Keasar C. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 19 Aug 2020

Redundancy-weighting the PDB for Detailed SSP with applications in EMA
[version 1; not peer reviewed]

Tomer Sidi, Chen Keasar¹

Author Affiliations

¹ Ben-Gurion University of the Negev, Israel

Presented at

28th International Conference on Intelligent Systems for Molecular Biology (ISMB) 2020

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Secondary Structure Prediction, SSP, Redundancy-Weighting, Non Redundant, beta-sheet, Estimation of protein Model Accuracy, EMA, STR2, Machine Learning, Deep Learning, Computational Structural Biology

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