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. 2021 May 5;13:37. doi: 10.1186/s13321-021-00514-2

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© The Author(s) 2021

Open AccessThis 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/. 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 in a credit line to the data.

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Fig. 6 — PCA visualization of SANCDB and analogs chemical space. Compounds (n = 375,061) are represented in dots. SANCDB (violet, n = 1012). Analogs are in bins of similarity values: (0.6,0.7) blue, n = 266,147; (0.7,0.8) orange, n = 69,336; (0.8,0.9) green, n = 24,679; [0.9,1] red, n = 13,887. As an analog may have different similarity scores with different SANCDB compounds, the maximum similarity score was chosen for each analog. The first two components explain 81% of the variance (PC1 (66%), PC1 (15%))