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RaPID Selection of Backbone Macrocyclic Peptides Targeting Akt2.

Koki Shinbara1, Ekishin Yanagi1, Ayaka Aizawa1

  • 1Department of Chemistry, Graduate School of Science, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.

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Summary

Researchers developed a novel method to create backbone-cyclic peptides (BMPs) for drug discovery. This technique enables the selection of potent BMP ligands, such as the Akt2 inhibitor BMPakti-3, against cancer-related targets.

Keywords:
backbone macrocyclic peptidesgenetic code reprogramminghead‐to‐tail macrocyclic peptidesin vitro screeningpeptide librarypeptides

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Area of Science:

  • Biochemistry
  • Medicinal Chemistry
  • Molecular Biology

Background:

  • Backbone-cyclic peptides (BMPs) are prevalent in natural bioactive products.
  • Conventional mRNA display and ribosomal synthesis methods are unsuitable for BMPs due to genotype-phenotype linkage issues.

Purpose of the Study:

  • To develop a novel strategy for linking BMPs to mRNA for display selection.
  • To construct and apply a library of BMPs fused to cognate mRNAs for ligand discovery.
  • To identify BMP ligands targeting Akt2, a protein implicated in cancer pathogenesis.

Main Methods:

  • A new strategy was devised involving a sidechain-to-S-mainchain bond formation via an S-to-N acyl-shift.
  • This method connects BMPs to the C-terminal peptide fragment linked to mRNA.
  • A library of BMPs fused to cognate mRNAs was constructed and utilized for selection.

Main Results:

  • The developed system successfully constructed a library of BMPs fused to cognate mRNAs.
  • BMP ligands targeting Akt2 were identified from this library.
  • The most potent inhibitor, BMPakti-3, demonstrated a dissociation constant of 1.3 nM and an IC50 of 34 nM.

Conclusions:

  • The novel strategy enables the de novo discovery of backbone-cyclic peptides fused to mRNA.
  • This platform facilitates the identification of bioactive BMP ligands against various protein targets.
  • The findings present a unique approach for developing novel therapeutics, particularly for cancer targets like Akt2.