Evidence map›Paper›PMID 36534810›Full record

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.

Kunhua Li, Olena S Tokareva, Ty M Thomson, Sebastian C T Wahl, Tara L Travaline, Jessica D Ramirez, Santosh K Choudary, Sorabh Agarwal, Ward G Walkup, Tivoli J Olsen and 3 more

Erratum issuedAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
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  3. Review
  4. Review
  5. Article
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  8. Article
  9. 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 · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Kunhua LiFOG Pharmaceuticals Inc., Cambridge, MA 02140.ORCID 0000-0002-9139-4257
Olena S TokarevaFOG Pharmaceuticals Inc., Cambridge, MA 02140.ORCID 0000-0002-5413-1650
Ty M ThomsonFOG Pharmaceuticals Inc., Cambridge, MA 02140.ORCID 0000-0002-9109-4596
Sebastian C T WahlFOG Pharmaceuticals Inc., Cambridge, MA 02140.ORCID 0000-0002-4869-991X
Tara L TravalineFOG Pharmaceuticals Inc., Cambridge, MA 02140.ORCID 0000-0002-7218-8650
Jessica D RamirezFOG Pharmaceuticals Inc., Cambridge, MA 02140.ORCID 0000-0002-7912-9506
Santosh K ChoudaryFOG Pharmaceuticals Inc., Cambridge, MA 02140.ORCID 0000-0003-0876-1501
Sorabh AgarwalFOG Pharmaceuticals Inc., Cambridge, MA 02140.ORCID 0000-0001-9230-9694
Ward G WalkupFOG Pharmaceuticals Inc., Cambridge, MA 02140.
Tivoli J OlsenFOG Pharmaceuticals Inc., Cambridge, MA 02140.
Matthew J BrennanFOG Pharmaceuticals Inc., Cambridge, MA 02140.ORCID 0000-0002-7290-4207
Gregory L VerdineFOG Pharmaceuticals Inc., Cambridge, MA 02140.
John H McGeeFOG Pharmaceuticals Inc., Cambridge, MA 02140.ORCID 0000-0002-3440-5247

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AmidesPeptidesProtein Conformation, alpha-HelicalBinding SitesPeptide LibraryAmidesPeptide LibraryPeptideschemical biologydrug discoveryphage displayprotein structurestapled peptides

Identifiers

PMID36534810
PMCPMC9907135

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.