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Visualized and Quantitative Conformational Analysis of Peptidomimetics.

Hajime TakashimaAtsushi YoshimoriEiji HondaTomonori TaguriJun OzawaMasaji KasaiSatoshi ShutoDai Takehara
Published in: ACS omega (2021)
Protein-protein interactions (PPIs) are fundamentally important and challenging drug targets. Peptidomimetic molecules of various types have been developed to modulate PPIs. A particularly promising drug discovery strategy, structural peptidomimetics, was designed based on special mimicking of side-chain Cα-Cβ bonds. It is simple and versatile. Nevertheless, no quantitative method has been established to evaluate its similarity to a target peptide motif. We developed two methods that enable visual, comprehensive, and quantitative analysis of peptidomimetics: peptide conformation distribution (PCD) plot and peptidomimetic analysis (PMA) map. These methods specifically examine multiple side-chain Cα-Cβ bonds of a peptide fragment motif and their corresponding bonds (pseudo-Cα-Cβ bonds) in a mimetic molecule instead of φ and ψ angles of a single amino acid in the traditional Ramachandran plot. The PCD plot is an alignment-free method, whereas the PMA map is an alignment-based method providing distinctive and complementary analysis. Results obtained from analysis using these two methods indicate our multifacial α-helix mimetic scaffold 12 as an excellent peptidomimetic that can precisely mimic the spatial positioning of side-chain functional groups of α-helix. These methods are useful for visualized and quantified evaluation of peptidomimetics and for the rational design of new mimetic scaffolds.
Keyphrases
  • drug discovery
  • high resolution
  • amino acid
  • molecular dynamics simulations
  • high density
  • single molecule
  • emergency department
  • tissue engineering
  • transition metal
  • electronic health record