Exponential Combination of a and e/g Intracellular Peptide Libraries Identifies a Selective ATF3 Inhibitor

Miao Yu1, T M Simon Tang1, Lila Ghamsari2

  • 1Department of Life Sciences, University of Bath, Claverton Down, Bath BA2 7AY, United Kingdom.

ACS Chemical Biology
|February 27, 2024
PubMed

Insights

Researchers developed a novel screening method to discover peptides targeting Activating Transcription Factor 3 (ATF3). This approach identified a high-affinity peptide, ATF3W_aeg, that selectively binds ATF3, offering potential for cancer therapy development.

Area of Science:

  • Molecular Biology
  • Protein Engineering
  • Cancer Research

Background:

  • Activating transcription factor 3 (ATF3) is a protein family member involved in regulating inflammatory responses.
  • ATF3 plays a role in cancer progression by suppressing key inflammatory factors like interferon-γ and chemokine (C-C motif) ligand 4 (CCL4).
  • Targeting ATF3 offers a potential therapeutic strategy for cancer treatment.

Purpose of the Study:

  • To develop a novel library screening approach for identifying potent and selective peptide inhibitors.
  • To explore large sequence spaces not typically accessible through standard intracellular screening methods.
  • To derive peptide antagonists that specifically bind ATF3 and avoid self-association.

Main Methods:

  • Employed a semirational library design approach combined with a protein-fragment complementation assay (PCA).
  • Screened a 248,832-member library focusing on 12 amino acid positions within leucine zipper components.
  • Screened a 59,049-member library probing 10 amino acid positions, followed by combining libraries to explore ~14.7 billion members.

Main Results:

  • Identified a high-affinity peptide, ATF3W_aeg, that binds ATF3 with a dissociation constant (Kd) of 151 nM and a melting temperature (Tm) of 60 °C.
  • ATF3W_aeg demonstrated strong disfavoring of homodimerization, indicating high specificity.
  • Target specificity was predominantly driven by electrostatic interactions, offering insights into rational peptide design.

Conclusions:

  • The combined exponential library screening approach is robust and accelerated for exploring vast peptide libraries.
  • This method enables the derivation of potent, selective antagonists that avoid homoassociation.
  • The findings provide new insights into rational peptide design for therapeutic applications, particularly in cancer.

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