Literature DB >> 23218602

Fragment-based discovery of novel and selective mPGES-1 inhibitors Part 1: identification of sulfonamido-1,2,3-triazole-4,5-dicarboxylic acid.

Kijae Lee1, Van Chung Pham, Min Ji Choi, Kyung Ju Kim, Kyung-Tae Lee, Seong-Gu Han, Yeon Gyu Yu, Jae Yeol Lee.   

Abstract

Microsomal prostaglandin E synthase-1 (mPGES-1) is an inducible prostaglandin E synthase that catalyzes the conversion of prostaglandin PGH(2) to PGE(2) and represents a novel target for therapeutic treatment of inflammatory disorders. It is essential to identify mPGES-1 inhibitor with novel scaffold as new hit or lead compound for the purpose of the next-generation anti-inflammatory drugs. Herein we report the discovery of sulfonamido-1,2,3-triazole-4,5-dicarboxylic derivatives as a novel class of mPGES-1 inhibitors identified through fragment-based virtual screening and in vitro assays on the inhibitory activity of the actual compounds. 1-[2-(N-Phenylbenzenesulfonamido)ethyl]-1H-1,2,3-triazole-4,5-dicarboxylic acid (6f) inhibits human mPGES-1 (IC(50) of 1.1 μM) with high selectivity (ca.1000-fold) over both COX-1 and COX-2 in a cell-free assay. In addition, the activity of compound 6f was again tested at 10 μM concentration in presence of 0.1% Triton X-100 and found to be reduced to 1/4 of its original activity without this detergent. Compared to the complete loss of activity of nuisance inhibitor with the detergent, therefore, compound 6f would be regarded as a partial nuisance inhibitor of mPGES-1 with a novel scaffold for the optimal design of more potent mPGES-1 inhibitors.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 23218602     DOI: 10.1016/j.bmcl.2012.11.019

Source DB:  PubMed          Journal:  Bioorg Med Chem Lett        ISSN: 0960-894X            Impact factor:   2.823


  6 in total

1.  Targeting microsomal prostaglandin E synthase 1 to develop drugs treating the inflammatory diseases.

Authors:  Qian Wang; Yuanyuan Li; Mengying Wu; Songming Huang; Aihua Zhang; Yue Zhang; Zhanjun Jia
Journal:  Am J Transl Res       Date:  2021-01-15       Impact factor: 4.060

2.  Computational models for the classification of mPGES-1 inhibitors with fingerprint descriptors.

Authors:  Zhonghua Xia; Aixia Yan
Journal:  Mol Divers       Date:  2017-05-08       Impact factor: 2.943

3.  Selective inhibitors of human mPGES-1 from structure-based computational screening.

Authors:  Ziyuan Zhou; Yaxia Yuan; Shuo Zhou; Kai Ding; Fang Zheng; Chang-Guo Zhan
Journal:  Bioorg Med Chem Lett       Date:  2017-06-29       Impact factor: 2.823

4.  DREAM-in-CDM Approach and Identification of a New Generation of Anti-inflammatory Drugs Targeting mPGES-1.

Authors:  Shuo Zhou; Ziyuan Zhou; Kai Ding; Yaxia Yuan; Charles Loftin; Fang Zheng; Chang-Guo Zhan
Journal:  Sci Rep       Date:  2020-06-23       Impact factor: 4.379

5.  Clinical data mining reveals analgesic effects of lapatinib in cancer patients.

Authors:  Shuo Zhou; Fang Zheng; Chang-Guo Zhan
Journal:  Sci Rep       Date:  2021-02-11       Impact factor: 4.379

6.  Structure-based discovery of mPGES-1 inhibitors suitable for preclinical testing in wild-type mice as a new generation of anti-inflammatory drugs.

Authors:  Kai Ding; Ziyuan Zhou; Shurong Hou; Yaxia Yuan; Shuo Zhou; Xirong Zheng; Jianzhong Chen; Charles Loftin; Fang Zheng; Chang-Guo Zhan
Journal:  Sci Rep       Date:  2018-03-26       Impact factor: 4.379

  6 in total

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