Literature DB >> 28581721

A Fusion Protein of the p53 Transaction Domain and the p53-Binding Domain of the Oncoprotein MdmX as an Efficient System for High-Throughput Screening of MdmX Inhibitors.

Rong Chen1, Jingjing Zhou1, Lingyun Qin1, Yao Chen1, Yongqi Huang1, Huili Liu2, Zhengding Su1.   

Abstract

In nearly half of cancers, the anticancer activity of p53 protein is often impaired by the overexpressed oncoprotein Mdm2 and its homologue, MdmX, demanding efficient therapeutics to disrupt the aberrant p53-MdmX/Mdm2 interactions to restore the p53 activity. While many potent Mdm2-specific inhibitors have already undergone clinical investigations, searching for MdmX-specific inhibitors has become very attractive, requiring a more efficient screening strategy for evaluating potential scaffolds or leads. In this work, considering that the intrinsic fluorescence residue Trp23 in the p53 transaction domain (p53p) plays an important role in determining the p53-MdmX/Mdm2 interactions, we constructed a fusion protein to utilize this intrinsic fluorescence signal to monitor high-throughput screening of a compound library. The fusion protein was composed of the p53p followed by the N-terminal domain of MdmX (N-MdmX) through a flexible amino acid linker, while the whole fusion protein contained a sole intrinsic fluorescence probe. The fusion protein was then evaluated using fluorescence spectroscopy against model compounds. Our results revealed that the variation of the fluorescence signal was highly correlated with the concentration of the ligand within 65 μM. The fusion protein was further evaluated with respect to its feasibility for use in high-throughput screening using a model compound library, including controls. We found that the imidazo-indole scaffold was a bona fide scaffold for template-based design of MdmX inhibitors. Thus, the p53p-N-MdmX fusion protein we designed provides a convenient and efficient tool for high-throughput screening of new MdmX inhibitors. The strategy described in this work should be applicable for other protein targets to accelerate drug discovery.

Entities:  

Mesh:

Substances:

Year:  2017        PMID: 28581721     DOI: 10.1021/acs.biochem.7b00085

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.162


  4 in total

Review 1.  Bacterial cupredoxin azurin hijacks cellular signaling networks: Protein-protein interactions and cancer therapy.

Authors:  Meng Gao; Jingjing Zhou; Zhengding Su; Yongqi Huang
Journal:  Protein Sci       Date:  2017-10-27       Impact factor: 6.725

2.  Chemical Instability and Promiscuity of Arylmethylidenepyrazolinone-Based MDMX Inhibitors.

Authors:  Jakub Stefaniak; Andrew M Lewis; Daniel Conole; Sébastien R G Galan; Carole J R Bataille; Graham M Wynne; M Paola Castaldi; Thomas Lundbäck; Angela J Russell; Kilian V M Huber
Journal:  ACS Chem Biol       Date:  2018-09-19       Impact factor: 5.100

3.  Leveraging the multivalent p53 peptide-MdmX interaction to guide the improvement of small molecule inhibitors.

Authors:  Xiyao Cheng; Rong Chen; Ting Zhou; Bailing Zhang; Zichun Li; Meng Gao; Yongqi Huang; Huili Liu; Zhengding Su
Journal:  Nat Commun       Date:  2022-02-28       Impact factor: 14.919

Review 4.  Surface Plasmon Resonance Sensing of Biorecognition Interactions within the Tumor Suppressor p53 Network.

Authors:  Ilaria Moscetti; Salvatore Cannistraro; Anna Rita Bizzarri
Journal:  Sensors (Basel)       Date:  2017-11-20       Impact factor: 3.576

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.