Pharmacophore modeling for the identification of small-molecule inhibitors of TACE

Li-Juan Liu, Ka-Ho Leung, Sheng Lin, Daniel Shiu-Hin Chan, Dewi Susanti, Weidong Rao, Philip Wai Hong Chan, Dik-Lung Edmond Ma, Chung-Hang Duncan Leung

Research output: Contribution to journalArticleResearchpeer-review

2 Citations (Scopus)

Abstract

Tumor necrosis factor a-converting enzyme (TACE) plays a critical role in diverse physiological processes such as inflammation, hematopoiesis, and development. In this study, a pharmacophore model constructed from a training set of TACE inhibitors was used to screen an in-house database of organic compounds, from which compound 1 emerged as a top candidate. In a cell-free assay, compound 1 inhibited TACE enzymatic activity in a dose-dependent manner. Moreover, compound 1 inhibited the production of soluble TNF-a in human acute monocytic leukemia THP-1 cells without impacting nitric oxide production, and exhibited anti-proliferative activity against THP-1 cells. We envisage that compound 1 may be employed as a useful scaffold for the development of more potent TACE inhibitors. This study also validates the use of pharmacophore modeling to identify enzyme inhibitors.
Original languageEnglish
Pages (from-to)92 - 97
Number of pages6
JournalMethods
Volume71
DOIs
Publication statusPublished - 2015

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