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Rapid Discovery of Aspartyl Protease Inhibitors Using an Anchoring Approach

Authors: Markella Konstantinidou; Francesca Magari; Fandi Sutanto; Jörg Haupenthal; Varsha R. Jumde; M. Yagiz Ünver; Andreas Heine; +4 Authors

Rapid Discovery of Aspartyl Protease Inhibitors Using an Anchoring Approach

Abstract

AbstractPharmacophore searches that include anchors, fragments contributing above average to receptor binding, combined with one‐step syntheses are a powerful approach for the fast discovery of novel bioactive molecules. Here, we are presenting a pipeline for the rapid and efficient discovery of aspartyl protease inhibitors. First, we hypothesized that hydrazine could be a multi‐valent warhead to interact with the active site Asp carboxylic acids. We incorporated the hydrazine anchor in a multicomponent reaction and created a large virtual library of hydrazine derivatives synthetically accessible in one‐step. Next, we performed anchor‐based pharmacophore screening of the libraries and resynthesized top‐ranked compounds. The inhibitory potency of the molecules was finally assessed by an enzyme activity assay and the binding mode confirmed by several soaked crystal structures supporting the validity of the hypothesis and approach. The herein reported pipeline of tools will be of general value for the rapid generation of receptor binders beyond Asp proteases.

Countries
Germany, Netherlands
Keywords

ddc:500, Aspartic Acid Proteases, Molecular Structure, 500, Communications, hydrazine-tetrazoles, MCR chemistry, docking protocol, crystal structures, Hydrazines, Drug Discovery, aspartic protease, Humans, Protease Inhibitors

  • BIP!
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    selected citations
    These citations are derived from selected sources.
    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).
    5
    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 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
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!
5
Top 10%
Average
Average
Green
hybrid