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Updated: Jan 2, 2026

High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method
Published on: May 21, 2018
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.
Abstract:
Basic leucine-zipper (bZIP) proteins represent difficult, yet compelling, oncogenic targets since numerous cell-signaling cascades converge upon them, where they function to modulate the transcription of specific gene targets. bZIPs are widely recognized as important regulators of cellular processes that include cell proliferation, apoptosis, and differentiation. Once such validated transcriptional regulator, activator protein-1, is typically composed of heterodimers of Fos and Jun family members, with cFos-cJun being the best described. It has been shown to be key in the progression and development of a number of different diseases. As a proof-of-principle for our approach, we describe the first use of a novel combined in silico/in cellulo peptide-library screening platform that facilitates the derivation of a sequence that displays high selectivity for cJun relative to cFos, while also avoiding homodimerization. In particular, >60 million peptides were computationally screened and all potential on/off targets ranked according to predicted stability, leading to a reduced size library that was further refined by intracellular selection. The derived sequence is predicted to have limited cross-talk with a second previously derived peptide antagonist that is selective for cFos in the presence of cJun. The study provides new insight into the use of multistate screening with the ability to combine computational and intracellular approaches in evolving multiple cocompatible peptides that are capable of satisfying conflicting design requirements.
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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