Evidence map›Paper›PMID 39574763›Full record

ArticlebioRxiv : the preprint server for biology2024

Identification of Covalent Cyclic Peptide Inhibitors Targeting Protein-Protein Interactions Using Phage Display.

Sijie Wang, Franco F Faucher, Matilde Bertolini, Heeyoung Kim, Bingchen Yu, Li Cao, Katharina Roeltgen, Scott Lovell, Varun Shanker, Scott D Boyd and 3 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Sijie WangDepartment of Pathology, School of Medicine, Stanford University, California 94305, United States.ORCID 0009-0009-0014-8463
Franco F FaucherDepartment of Chemistry, School of Humanities and Sciences, Stanford University, California 94305, United States.
Matilde BertoliniDepartment of Genetics, School of Medicine, Stanford University, California 94305, United States.
Heeyoung KimDepartment of Infectious Diseases, Molecular Virology, Heidelberg University, Center for Integrative Infectious Diseases Research, Heidelberg, Germany.
Bingchen YuDepartment of Pharmaceutical Chemistry, School of Pharmacy, University of California San Francisco, San Francisco, California 94158, United States.
Li CaoDepartment of Pharmaceutical Chemistry, School of Pharmacy, University of California San Francisco, San Francisco, California 94158, United States.
Katharina RoeltgenDepartment of Pathology, School of Medicine, Stanford University, California 94305, United States.
Scott LovellDepartment of Pathology, School of Medicine, Stanford University, California 94305, United States.
Varun ShankerDepartment of Biochemistry, School of Medicine, Stanford University, California 94305, United States.ORCID 0000-0003-4443-9229
Scott D BoydDepartment of Pathology, School of Medicine, Stanford University, California 94305, United States.ORCID 0000-0003-0963-044X
Lei WangDepartment of Pharmaceutical Chemistry, School of Pharmacy, University of California San Francisco, San Francisco, California 94158, United States.ORCID 0000-0002-5859-2526
Ralf BartenschlagerDepartment of Infectious Diseases, Molecular Virology, Heidelberg University, Center for Integrative Infectious Diseases Research, Heidelberg, Germany.ORCID 0000-0001-5601-9307
Matthew BogyoDepartment of Pathology, School of Medicine, Stanford University, California 94305, United States.ORCID 0000-0003-3753-4412

Funding

Covalent Protein Binders for Cancer Research and TherapyR01CA258300 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WANG, LEI · 2021 to 2025
$2.0M
Graduate Training Program in BiotechnologyT32GM141819 · NIGMS · STANFORD UNIVERSITY · PI Eric Andrew Appel, Fan Yang · 2021 to 2026
$1.9M
Protease sensor for rapid and sensitive detection of Borrelia infectionsR21AI191151 · NIAID · STANFORD UNIVERSITY · PI BOGYO, MATTHEW · 2025 to 2025
$436k
NCI NIH HHS R01 CA258300NIAID NIH HHS R21 AI191151NIGMS NIH HHS T32 GM141819
6 · The paper itself

Abstract

Peptide macrocycles are promising therapeutics for a variety of disease indications due to their overall metabolic stability and potential to make highly selective binding interactions with targets. Recent advances in covalent macrocycle peptide discovery, driven by phage and mRNA display methods, have enabled the rapid identification of highly potent and selective molecules from large libraires of diverse macrocycles. However, there are currently limited examples of macrocycles that can be used to disrupt protein-protein interactions and even fewer examples that function by formation of a covalent bond to a target protein. In this work, we describe a directed counter-selection method that enables identification of covalent macrocyclic ligands targeting a protein-protein interaction using a phage display screening platform. This method utilizes binary and ternary screenings of a chemically modified phage display library, employing the stable and weakly reactive aryl fluorosulfate electrophile. We demonstrate the utility of this approach using the SARS-CoV-2 Spike-ACE2 protein-protein interaction and identify multiple covalent macrocyclic inhibitors that disrupt this interaction. The resulting compounds displayed antiviral activity against live virus that was irreversible after washout due to the covalent binding mechanism. These results highlight the potential of this screening platform for developing covalent macrocyclic drugs that disrupt protein-protein interactions with long lasting effects.

Identifiers

PMID39574763
PMCPMC11580984

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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.