VIPER
VIPER designs inhibitory decoy peptides that mimic binding sites on human proteins to disrupt protein–protein interactions required for viral entry.
Key Features:
- Automated Design: Automates derivation and optimization of inhibitory decoy peptides from protein structural data.
- Biomimetic Approach: Generates peptides that mimic human protein binding sites to competitively inhibit viral entry by disrupting protein–protein interactions.
- Structural Data Utilization: Uses structural data from human-pathogen protein complexes to identify target binding interfaces for decoy design.
- Molecular Dynamics Validation: Employs molecular dynamics simulations to computationally validate peptide stability and binding of designed decoys.
Scientific Applications:
- Antiviral inhibitor design and optimization: Facilitates rapid design and optimization of inhibitory decoy peptides as antiviral inhibitors.
- Experimental evaluation against pathogens: Has been applied to design decoys tested on three clinically relevant viruses.
Methodology:
Automated derivation and optimization of decoy peptides from human-pathogen protein complex structural data, followed by computational validation using molecular dynamics simulations.
Topics
Details
- License:
- MIT
- Maturity:
- Emerging
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Programming Languages:
- Python
- Added:
- 3/30/2024
- Last Updated:
- 5/16/2025
Operations
Publications
Klingenberg AS, Ghersi D. VIPER: Virus Inhibition Via Peptide Engineering and Receptor Mimicry. Journal of Computational Biology. 2025;32(4):362-373. doi:10.1089/cmb.2024.0866.
Klingenberg AS, Ghersi D. VIPER [Internet]. Zenodo; 2024. Available from: https://zenodo.org/doi/10.5281/zenodo.10897858
Documentation
Downloads
- Downloads pageVersion: 1.0.1https://github.com/A-Klingenberg/VIPER/releases/tag/1.0.1Source code