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. 2020 Aug 22;11(8):697. doi: 10.1038/s41419-020-02891-2

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© The Author(s) 2020

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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Fig. 1 — a Flowchart of structure-based virtual screening for RORγt inverse agonist discovery. b Representative graphs of multiple screening results of CQMU151 and CQMU152 at a concentration of 5, 10, 25, 50, and 100 μM. c, d Statistics of three repeated experiments of CQMU151 and CQMU152 at concentrations of 10, 50, and 100 μM (*P < 0.05, **P < 0.01 versus the control group with Student’s t-test, n = 3).