bioRxivBiochemistry
Covalent Flexible Peptide Docking in Rosetta
B. Tivon, R. Gabizon, B. A. Somsen, P. J. Cossar, C. Ottmann, N. London
Abstract
Electrophilic peptides that form an irreversible covalent bond with their target have great potential for binding targets that have been previously considered undruggable. However, the discovery of such peptides remains a challenge. Here, we present CovPepDock, a computational pipeline for peptide docking that incorporates covalent binding between the peptide and a receptor cysteine. We applied CovPepDock retrospectively to a dataset of 115 disulfide-bound peptides and a dataset of 54 electrophilic peptides, for which it produced a top-five scoring, near-native model, in 89% and 100% of the cases, respectively. In addition, we developed a protocol for designing electrophilic peptide binders based on known non-covalent binders or protein-protein interfaces. We identified 7,154 peptide candidates in the PDB for application of this protocol. As a proof-of-concept we validated the protocol on the non-covalent complex of 14-3-3{sigma} and YAP1 phosphopeptide. The protocol identified seven highly potent and selective irreversible peptide binders. The predicted binding mode of one of the peptides was validated using X-ray crystallography. This case-study demonstrates the utility and impact of CovPepDock. It suggests that many new electrophilic peptide binders can be rapidly discovered, with significant potential as therapeutic molecules and chemical probes.
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- A phage display approach to identify highly selective covalent binders
- A simple method for developing lysine targeted covalent protein reagents
R. Gabizon, B. Tivon, … N. London·bioRxiv·Aug 28, 2023
- PatchMAN docking: Modeling peptide-protein interactions in the context of the receptor surface
Alisa Khramushin, Ziv Ben-Aharon, … Ora Schueler‐Furman·Proceedings of the National Academy of SciencesPeer-reviewed·Apr 28, 2022
- Peptide Mold: A Novel Strategy for Mapping Potential Binding Sites in Protein Targets
Pritam V. Bagwe, Yogesh Jagtap, … Prashant S. Kharkar·bioRxiv·Feb 28, 2024
- Identification of Covalent Cyclic Peptide Inhibitors Targeting Protein-Protein Interactions Using Phage Display
Sijie Wang, Franco F. Faucher, … Matthew S. Bogyo·Journal of the American Chemical SocietyPeer-reviewed·Feb 24, 2025
- CovSite: A High-Throughput Blind Covalent Screening Framework for Reactive Site Detection
Andrew Hu, Joe Bailey, … Blaise R. Kimmel·bioRxiv·Jul 20, 2026