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Noncovalent Peptide Stapling Using Alpha-Methyl-l-Phenylalanine for α-Helical Peptidomimetics.

Ross A D BathgatePraveen PraveenAshish SethiWerner I FuruyaRishi R DhingraMartina KocanQinghao OuAdam L ValkovicIsis Gil-MiravetMónica Navarro-SánchezFrancisco E Olucha-BordonauAndrew L GundlachK Johan RosengrenPaul R GooleyMathias DutschmannMohammed Akhter Hossain
Published in: Journal of the American Chemical Society (2023)
Peptides and peptidomimetics are attractive drug candidates because of their high target specificity and low-toxicity profiles. Developing peptidomimetics using hydrocarbon (HC)-stapling or other stapling strategies has gained momentum because of their high stability and resistance to proteases; however, they have limitations. Here, we take advantage of the α-methyl group and an aromatic phenyl ring in a unique unnatural amino acid, α-methyl-l-phenylalanine (αF), and propose a novel, noncovalent stapling strategy to stabilize peptides. We utilized this strategy to create an α-helical B-chain mimetic of a complex insulin-like peptide, human relaxin-3 (H3 relaxin). Our comprehensive data set ( in vitro , ex vivo , and in vivo ) confirmed that the new high-yielding B-chain mimetic, H3B10-27(13/17αF), is remarkably stable in serum and fully mimics the biological function of H3 relaxin. H3B10-27(13/17αF) is an excellent scaffold for further development as a drug lead and an important tool to decipher the physiological functions of the neuropeptide G protein-coupled receptor, RXFP3.
Keyphrases
  • amino acid
  • type diabetes
  • endothelial cells
  • machine learning
  • artificial intelligence