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Exploring protein hotspots by optimized fragment pharmacophores

Authors: Bajusz, D; Wade, WS; Satała, G; Bojarski, AJ; Ilaš, J; Ebner, J; Grebien, F; +12 Authors

Exploring protein hotspots by optimized fragment pharmacophores

Abstract

AbstractFragment-based drug design has introduced a bottom-up process for drug development, with improved sampling of chemical space and increased effectiveness in early drug discovery. Here, we combine the use of pharmacophores, the most general concept of representing drug-target interactions with the theory of protein hotspots, to develop a design protocol for fragment libraries. The SpotXplorer approach compiles small fragment libraries that maximize the coverage of experimentally confirmed binding pharmacophores at the most preferred hotspots. The efficiency of this approach is demonstrated with a pilot library of 96 fragment-sized compounds (SpotXplorer0) that is validated on popular target classes and emerging drug targets. Biochemical screening against a set of GPCRs and proteases retrieves compounds containing an average of 70% of known pharmacophores for these targets. More importantly, SpotXplorer0 screening identifies confirmed hits against recently established challenging targets such as the histone methyltransferase SETD2, the main protease (3CLPro) and the NSP3 macrodomain of SARS-CoV-2.

Keywords

QH3015 Molecular biology / molekuláris biológia, Cell Survival, Science, Coronavirus Papain-Like Proteases, Crystallography, X-Ray, Ligands, QR355 Virology / víruskutatás, Article, Receptors, G-Protein-Coupled, Computational Chemistry, Drug Development, Chlorocebus aethiops, Drug Discovery, Animals, Humans, Databases, Protein, Coronavirus 3C Proteases, RS Pharmacy and materia medica / gyógyszerészet, Q, Hydrogen Bonding, Histone-Lysine N-Methyltransferase, High-Throughput Screening Assays, HEK293 Cells, Drug Design, gyógyászati eszközök, Hydrophobic and Hydrophilic Interactions, Protein Binding

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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!
40
Top 10%
Top 10%
Top 1%
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gold