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Molecular Cancer Therapeutics
Article . 2007 . Peer-reviewed
Data sources: Crossref
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Improved low molecular weight Myc-Max inhibitors

Authors: Huabo, Wang; Dalia I, Hammoudeh; Ariele Viacava, Follis; Brian E, Reese; John S, Lazo; Steven J, Metallo; Edward V, Prochownik;

Improved low molecular weight Myc-Max inhibitors

Abstract

Abstract Compounds that selectively prevent or disrupt the association between the c-Myc oncoprotein and its obligate heterodimeric partner Max (Myc-Max compounds) have been identified previously by high-throughput screening of chemical libraries. Although these agents specifically inhibit the growth of c-Myc–expressing cells, their clinical applicability is limited by their low potency. We describe here several chemical modifications of one of these original compounds, 10058-F4, which result in significant improvements in efficacy. Compared with the parent structure, these analogues show enhanced growth inhibition of c-Myc–expressing cells in a manner that generally correlates with their ability to disrupt c-Myc-Max association and DNA binding. Furthermore, we show by use of a sensitive fluorescence polarization assay that both 10058-F4 and its active analogues bind specifically to monomeric c-Myc. These studies show that improved Myc-Max compounds can be generated by a directed approach involving deliberate modification of an index compound. They further show that the compounds specifically target c-Myc, which exists in a dynamic and relatively unstructured state with only partial and transient α-helical content. [Mol Cancer Ther 2007;6(9):2399–408]

Keywords

Rhodanine, Immunoblotting, Electrophoretic Mobility Shift Assay, HL-60 Cells, Azepines, Fluorescence, Molecular Weight, Proto-Oncogene Proteins c-myc, Basic-Leucine Zipper Transcription Factors, Piperidines, Humans, Immunoprecipitation, Dimerization, Cell Proliferation

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    citations
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    186
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
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    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
186
Top 1%
Top 10%
Top 1%
bronze