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. 2017 Sep 18;7:11748. doi: 10.1038/s41598-017-12168-y

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© The Author(s) 2017

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Principal component analysis based on the simulation trajectory. The first (a) and second (b) principal components (PC1 and PC2) of free SLY obtained through PCA are depicted as cones on the C_α. The first (c) and second (d) principal components (PC1 and PC2) in the SLY-MYR complex obtained via PCA are depicted as cones on the C_α. The length of the cones represents the magnitude of the motion.