Coupling Computational and Intracellular Screening and Selection Toward Co-compatible cJun and cFos Antagonists

Alexander Lathbridge1, Anna S Michalowska1, Jody M Mason1

  • 1Department of Biology & Biochemistry , University of Bath , Claverton Down , Bath BA2 7AY , United Kingdom.

Biochemistry
|December 6, 2019
PubMed

Insights

Researchers developed a novel screening platform to identify peptides targeting specific proteins. This approach successfully derived a peptide selective for cJun over cFos, crucial for disease research.

Area of Science:

  • Molecular Biology
  • Biochemistry
  • Drug Discovery

Background:

  • Basic leucine-zipper (bZIP) proteins are key regulators of cellular processes like proliferation and apoptosis.
  • Activator protein-1 (AP-1) dimers, particularly cFos-cJun, are implicated in disease progression.
  • Targeting bZIP proteins is challenging due to their central role in cell signaling.

Purpose of the Study:

  • To demonstrate a novel combined in silico/in cellulo peptide-library screening platform.
  • To derive a peptide with high selectivity for cJun over cFos, avoiding homodimerization.
  • To develop compatible peptide antagonists for multiple AP-1 family members.

Main Methods:

  • Computational screening of over 60 million peptides to predict stability and off-target effects.
  • Intracellular selection to refine the peptide library and validate candidate sequences.
  • Designing peptides with minimal cross-talk between cFos and cJun antagonists.

Main Results:

  • Successfully derived a peptide sequence with high selectivity for cJun relative to cFos.
  • The derived peptide avoids homodimerization, enhancing specificity.
  • The new peptide shows predicted limited cross-talk with a previously identified cFos-selective peptide.

Conclusions:

  • The combined in silico/in cellulo screening platform is effective for evolving compatible peptides with specific targeting capabilities.
  • This approach offers a powerful strategy for developing modulators of complex protein-protein interactions, like those in the AP-1 family.
  • The findings provide new insights into multistate screening for designing peptides that meet conflicting requirements.

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