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Peptide Identification Using Tandem Mass Spectrometry01:33

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Affinity selection-mass spectrometry with linearizable macrocyclic peptide libraries.

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Researchers developed large synthetic macrocyclic libraries for drug discovery. These libraries enabled the identification of high-affinity binders, like NCBP-4, advancing therapeutic peptide development.

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Area of Science:

  • Biochemistry and Medicinal Chemistry
  • Peptide Synthesis and Drug Discovery

Background:

  • Large synthetic macrocyclic libraries are crucial for ligand discovery but have been challenging to prepare.
  • Macrocycles offer unique structural properties for therapeutic applications.

Purpose of the Study:

  • To develop a method for generating large, diverse macrocyclic libraries for efficient ligand discovery.
  • To identify novel macrocyclic binders for therapeutic targets like cadherin-2 and antibodies.

Main Methods:

  • Generation of 100-million-membered macrocyclic libraries using natural and nonnatural amino acids.
  • Facilitation of disulfide bond formation via rapid iodine oxidation and reduction with dithiothreitol.
  • Affinity selection and structure-activity relationship studies to identify and optimize binders.

Main Results:

  • Successful discovery of macrocyclic binders to cadherin-2 and anti-hemagglutinin antibody.
  • Identification of key affinity-driving residues (hotspots) and mutation-tolerant residues (coldspots) in a cadherin-binding peptide (CBP).
  • Development of a high-affinity ligand (NCBP-4) with a Kd of 29 nanomolar through derivatization of coldspots.

Conclusions:

  • The developed macrocyclic library platform enables efficient discovery of high-affinity peptide ligands.
  • Derivatization of specific residues in macrocycles can significantly enhance binding affinity.
  • This approach holds promise for advancing therapeutic peptide development.