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. 2016 Aug 31;17(Suppl 8):281. doi: 10.1186/s12859-016-1117-3

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© The Author(s). 2016

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 2 — Encoding and neural network architecture for flexibility prediction. PSSM(20): position specific scoring matrix. SCRS(3): context-based scores of residue R_i in Rigid, Intermediate, and Flexible states. SS(3): predicted secondary structures, represent probabilities of residue R_i in Helix, Sheet, and Coil. SA(2): predicted relative solvent accessibility, represent probabilities of residue R_i in Extended and Buried states. AAP(5): amino acid properties