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.