Screening for Peptides to Bind and Functionally Inhibit SARS-CoV-2 Fusion Peptide Using Mirrored Combinatorial Phage Display and Human Proteomic Phage Display
To identify pancoronaviral inhibitors, we sought to identify peptides that bound the evolutionarily conserved SARS-CoV-2 spike fusion peptide (FP). We screened the NEB PhD-7-mer random combinatorial phage display library against FP, synthesised as a D-peptide, to identify peptides from the L-library to be synthesised as proteolytically resistant D peptides. We selected the top ten peptides that were not seen in another published screen with this library, as these were more likely to be specific. All ten D-peptides had no impact on the infection of Vero-E6/TMPRSS2 cells by SARS-CoV-2. Screening of a proteomic-derived phage display library from the disordered regions of human proteins identified two overlapping 14mer peptides from a region of OTUD1. While a synthetic peptide based on their sequences failed to markedly inhibit viral entry, molecular dynamics structural modelling highlighted a stable binding mode where positive residues on one side of the OTUD1 helix interacted with hydrophobic residues of the FP triple-helical wedge. Thus, while the two phage display strategies failed to yield peptide sequences that are themselves strong inhibitors of viral infection, they led to the development of a computational model that can underpin future designs of potential pancoronaviral FP disruptors.
Authors
- Nathan Francois
- Sophie O’Reilly (ORCID: https://orcid.org/0000-0001-5546-7984)
- Virginie Gautier (ORCID: https://orcid.org/0000-0003-1862-2644)
- Matthew Angeliadis (ORCID: https://orcid.org/0000-0001-9953-5926)
- Indrani Bera (ORCID: https://orcid.org/0000-0003-4198-0204)
- Priyanka Madhu (ORCID: https://orcid.org/0000-0002-7502-5400)
- Neeladri Sekhar Roy
- David O’Connell (ORCID: https://orcid.org/0000-0002-6461-7750)
- Pál A (ORCID: https://orcid.org/0009-0007-5277-3776)
- Denis C. Shields
- Aisling Lynch
- Marc Devocelle
Institutions
- University College Dublin (IE)
- Uppsala University (SE)
- Royal College of Surgeons in Ireland (IE)
- Technological University Dublin (IE)
Publication Details
- Journal
- Molecules
- Published
- 2026-01-13
- DOI
- https://doi.org/10.3390/molecules31020282
- Primary Topic
- vaccines and immunoinformatics approaches
- Type
- article
- Field-Weighted Citation Impact
- 0.00