Literature DB >> 27043267

Identification of N-phenyl-2-(N-phenylphenylsulfonamido)acetamides as new RORγ inverse agonists: Virtual screening, structure-based optimization, and biological evaluation.

Yu Song1, Xiaoqian Xue2, Xishan Wu3, Rui Wang2, Yanli Xing1, Weiqun Yan4, Yulai Zhou4, Chao-Nan Qian5, Yan Zhang6, Yong Xu7.   

Abstract

Retinoic acid receptor-related orphan receptors (RORs) are ligand-dependent transcriptional factors and members of the nuclear receptor superfamily. RORs regulate inflammation, metabolic disorders and circadian rhythm. RORγ is a promising therapeutic drug target for treating Th17-mediated autoimmune diseases. In our study, we performed structure-based virtual screening and ligand-based virtual screening targeting the RORγ ligand-binding domain and successfully identified N-phenyl-2-(N-phenylphenylsulfonamido) acetamides as a type of RORγ inverse agonist. Among the 28 purchased compounds, C11 was confirmed to be active with micromolar IC50 values in both an AlphaScreen assay (62.58 μM) and a cell-based reporter gene assay (4.54 μM). Structure-guided optimization of the compound C11 led to the identification of compound 39, which significantly enhanced RORγ inhibition with an IC50 value of 630 nM. The RORγ antagonism of 39 was 7-fold higher than that of hit compound C11. These results represent a promising starting point for developing potent small molecule RORγ inverse agonists for the treatment of autoimmune diseases, such as rheumatoid arthritis, psoriasis, and multiple sclerosis.
Copyright © 2016 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Autoimmune diseases; Inverse agonist; Molecular docking; Nuclear receptor; RORγ; Similarity-based screening; Virtual screening

Mesh:

Substances:

Year:  2016        PMID: 27043267     DOI: 10.1016/j.ejmech.2016.03.052

Source DB:  PubMed          Journal:  Eur J Med Chem        ISSN: 0223-5234            Impact factor:   6.514


  4 in total

1.  The Development of Target-Specific Pose Filter Ensembles To Boost Ligand Enrichment for Structure-Based Virtual Screening.

Authors:  Jie Xia; Jui-Hua Hsieh; Huabin Hu; Song Wu; Xiang Simon Wang
Journal:  J Chem Inf Model       Date:  2017-06-01       Impact factor: 4.956

Review 2.  RORγ Structural Plasticity and Druggability.

Authors:  Mian Huang; Shelby Bolin; Hannah Miller; Ho Leung Ng
Journal:  Int J Mol Sci       Date:  2020-07-27       Impact factor: 5.923

3.  Virtual screening of potentially endocrine-disrupting chemicals against nuclear receptors and its application to identify PPARγ-bound fatty acids.

Authors:  Chaitanya K Jaladanki; Yang He; Li Na Zhao; Sebastian Maurer-Stroh; Lit-Hsin Loo; Haiwei Song; Hao Fan
Journal:  Arch Toxicol       Date:  2020-09-09       Impact factor: 5.153

4.  iVS analysis to evaluate the impact of scaffold diversity in the binding to cellular targets relevant in cancer.

Authors:  Agostino Cilibrizzi; Giuseppe Floresta; Vincenzo Abbate; Maria Paola Giovannoni
Journal:  J Enzyme Inhib Med Chem       Date:  2019-12       Impact factor: 5.051

  4 in total

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