ArticleProceedings of the National Academy of Sciences of the United States of America2022
De novo mapping of α-helix recognition sites on protein surfaces using unbiased libraries.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Structural ontogeny of protein-protein interactions.Science (New York, N.Y.) · 2026Article
- Mutational scanning reveals substrate-assisted autoregulation of the WNT destruction complex.bioRxiv : the preprint server for biology · 2025Article
- Tackling Undruggable Targets with Designer Peptidomimetics and Synthetic Biologics.Chemical reviews · 2024Review
- Selection of Nucleotide-Encoded Mass Libraries of Macrocyclic Peptides for Inaccessible Drug Targets.Chemical reviews · 2024Review
- Mirror-image ligand discovery enabled by single-shot fast-flow synthesis of D-proteins.Nature communications · 2024Article
- Design-rules for stapled peptides with in vivo activity and their application to Mdm2/X antagonists.Nature communications · 2024Article
- Recognition and reprogramming of E3 ubiquitin ligase surfaces by α-helical peptides.Nature communications · 2023Article
- Characterization and Classification In Silico of Peptides with Dual Activity (Antimicrobial and Wound Healing).International journal of molecular sciences · 2023Article
- De novo mapping of α-helix recognition sites on protein surfaces using unbiased libraries.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The α-helix is one of the most common protein surface recognition motifs found in nature, and its unique amide-cloaking properties also enable α-helical polypeptide motifs to exist in membranes. Together, these properties have inspired the development of α-helically constrained (Helicon) therapeutics that can enter cells and bind targets that have been considered "undruggable", such as protein-protein interactions. To date, no general method for discovering α-helical binders to proteins has been reported, limiting Helicon drug discovery to only those proteins with previously characterized α-helix recognition sites, and restricting the starting chemical matter to those known α-helical binders. Here, we report a general and rapid screening method to empirically map the α-helix binding sites on a broad range of target proteins in parallel using large, unbiased Helicon phage display libraries and next-generation sequencing. We apply this method to screen six structurally diverse protein domains, only one of which had been previously reported to bind isolated α-helical peptides, discovering 20 families that collectively comprise several hundred individual Helicons. Analysis of 14 X-ray cocrystal structures reveals at least nine distinct α-helix recognition sites across these six proteins, and biochemical and biophysical studies show that these Helicons can block protein-protein interactions, inhibit enzymatic activity, induce conformational rearrangements, and cause protein dimerization. We anticipate that this method will prove broadly useful for the study of protein recognition and for the development of both biochemical tools and therapeutics for traditionally challenging protein targets.
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