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. 2021 Apr 7;11:7628. doi: 10.1038/s41598-021-87134-w

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© The Author(s) 2021

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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

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Analysis of 3D dimensionality reduction using PCA of the sequence- and structure-based descriptors present in FC-1 to FC-4. Panel (A) 3D PCA of FC-1 showing a contribution of explained variance ratio of 10.93% (PC1), 7.26% (PC2), and 6% (PC3), and cumulative explained variance ratio (CEVR) of 24.19%. (B) 3D PCA of FC-2 showing a contribution of explained variance ratio of 48.9% (PC1), 21.94% (PC2), and 14.34%(PC3), and CEVR = 85.19%. (C) 3D PCA of FC-3 showing a contribution of explained variance ratio of 16.31% (PC1), 12.03% (PC2), and 7.22% (PC3) and CEVR = 35.58%. (D) 3D PCA of FC-4 showing a contribution of explained variance ratio of 17.81% (PC1), 12.48% (PC2), and 8.93% (PC3), and CEVR = 39.29%.