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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.
Abstract:
Activating transcription factor 3 (ATF3) is an activation transcription factor/cyclic adenosine monophosphate (cAMP) responsive element-binding (CREB) protein family member. It is recognized as an important regulator of cancer progression by repressing expression of key inflammatory factors such as interferon-γ and chemokine (C-C motif) ligand 4 (CCL4). Here, we describe a novel library screening approach that probes individual leucine zipper components before combining them to search exponentially larger sequence spaces not normally accessible to intracellular screening. To do so, we employ two individual semirational library design approaches and screen using a protein-fragment complementation assay (PCA). First, a 248,832-member library explored 12 amino acid positions at all five a positions to identify those that provided improved binding, with all e/g positions fixed as Q, placing selection pressure onto the library options provided. Next, a 59,049-member library probed all ten e/g positions with 3 options. Similarly, during e/g library screening, a positions were locked into a generically bindable sequence pattern (AIAIA), weakly favoring leucine zipper formation, while placing selection pressure onto e/g options provided. The combined a/e/g library represents ∼14.7 billion members, with the resulting peptide, ATF3W_aeg, binding ATF3 with high affinity (Tm = 60 °C; Kd = 151 nM) while strongly disfavoring homodimerization. Moreover, ATF3W_aeg is notably improved over component PCA hits, with target specificity found to be driven predominantly by electrostatic interactions. The combined a/e/g exponential library screening approach provides a robust, accelerated platform for exploring larger peptide libraries, toward derivation of potent yet selective antagonists that avoid homoassociation to provide new insight into rational peptide design.
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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