Literature DB >> 28236510

A strategy for dual inhibition of the proteasome and fatty acid synthase with belactosin C-orlistat hybrids.

Mingzhao Zhu1, Wayne D Harshbarger2, Omar Robles3, Joanna Krysiak4, Kenneth G Hull1, Sung Wook Cho3, Robyn D Richardson5, Yanyan Yang3, Andres Garcia3, Lindsey Spiegelman3, Bianca Ramirez3, Christopher T Wilson3, Ju Anne Yau3, James T Moore3, Caitlen B Walker3, James C Sacchettini2, Wenshe R Liu3, Stephan A Sieber4, Jeffrey W Smith5, Daniel Romo6.   

Abstract

The proteasome, a validated cellular target for cancer, is central for maintaining cellular homeostasis, while fatty acid synthase (FAS), a novel target for numerous cancers, is responsible for palmitic acid biosynthesis. Perturbation of either enzymatic machine results in decreased proliferation and ultimately cellular apoptosis. Based on structural similarities, we hypothesized that hybrid molecules of belactosin C, a known proteasome inhibitor, and orlistat, a known inhibitor of the thioesterase domain of FAS, could inhibit both enzymes. Herein, we describe proof-of-principle studies leading to the design, synthesis and enzymatic activity of several novel, β-lactone-based, dual inhibitors of these two enzymes. Validation of dual enzyme targeting through activity-based proteome profiling with an alkyne probe modeled after the most potent inhibitor, and preliminary serum stability studies of selected derivatives are also described. These results provide proof of concept for dual targeting of the proteasome and fatty acid synthase-thioesterase (FAS-TE) enabling a new approach for the development of drug-candidates with potential to overcome resistance.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Activity-based protein profiling; Beta-lactones; Inhibitor; Serum stability; Structure-activity relationship studies

Mesh:

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Year:  2017        PMID: 28236510      PMCID: PMC5522751          DOI: 10.1016/j.bmc.2017.01.020

Source DB:  PubMed          Journal:  Bioorg Med Chem        ISSN: 0968-0896            Impact factor:   3.641


  72 in total

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