MutCov
MutCov evaluates the impact of mutations in the SARS-CoV-2 spike protein on viral infectivity and antigenicity.
Key Features:
- Binding Free Energy Calculations: Calculates binding free energies between mutated spike proteins and angiotensin-converting enzyme 2 (ACE2) and neutralizing monoclonal antibodies (mAbs).
- Predictive Accuracy: Produces predictions of infectivity and antigenicity that have been validated against experimental results.
- Systematic Evaluation: Provides a systematic assessment of how specific spike protein mutations influence viral infectivity and immune recognition.
Scientific Applications:
- Viral Evolution Monitoring: Assesses how new spike mutations might affect SARS-CoV-2 transmission dynamics.
- Vaccine Development: Predicts changes in antigenicity to identify potential escape variants that could affect vaccine efficacy.
- Therapeutic Interventions: Identifies mutations that may impact the effectiveness of monoclonal antibody treatments.
Methodology:
MutCov simulates interactions between mutated spike proteins and ACE2 or neutralizing monoclonal antibodies and computes binding free energies to predict effects on infectivity and antigenicity.
Topics
Collections
Details
- License:
- Not licensed
- Cost:
- Free of charge
- Tool Type:
- library
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python
- Added:
- 7/26/2022
- Last Updated:
- 11/24/2024
Operations
Publications
Zhou W, Xu C, Luo M, Wang P, Xu Z, Xue G, Jin X, Huang Y, Li Y, Nie H, Jiang Q, Anashkina AA. MutCov: A pipeline for evaluating the effect of mutations in spike protein on infectivity and antigenicity of SARS-CoV-2. Computers in Biology and Medicine. 2022;145:105509. doi:10.1016/j.compbiomed.2022.105509. PMID:35421792. PMCID:PMC8993498.