SpikePro
SpikePro predicts SARS-CoV-2 fitness from spike protein amino acid sequence and structure to estimate transmissibility, infectivity, and immune escape.
Key Features:
- Fitness Prediction: Aligns input spike protein sequences in FASTA format to a reference, identifies mutations, and calculates their individual and cumulative effects on viral fitness.
- Transmissibility Assessment: Estimates effects on transmissibility by evaluating spike protein stability and structural changes that influence viral transmission.
- Infectivity Analysis: Computes infectivity from predicted ACE2 receptor binding affinity of spike variants.
- Immune Escape Prediction: Predicts potential immune escape by assessing spike binding affinity to a set of neutralizing antibodies.
Scientific Applications:
- Genomic Surveillance: Predicts emergence and potential dominance of SARS-CoV-2 strains based on fitness advantages derived from spike mutations.
- Epidemiological Studies: Provides fitness estimates that can be correlated with experimental, epidemiological, and clinical data to study variant impacts.
- Public Health Decision-Making: Informs assessment of emerging strain risk and vaccine relevance by forecasting transmissibility, infectivity, and immune escape potential.
Methodology:
Uses a computational model that integrates structural biology and virology, employing biophysical characteristics of the spike protein—stability, receptor binding affinity, and antibody interaction—to simulate and predict the fitness landscape of SARS-CoV-2 variants.
Topics
Details
- License:
- MIT
- Tool Type:
- command-line tool
- Programming Languages:
- C++, C
- Added:
- 12/6/2021
- Last Updated:
- 12/6/2021
Operations
Publications
Pucci F, Rooman M. Prediction and evolution of the molecular fitness of SARS-CoV-2 variants: Introducing SpikePro. Unknown Journal. 2021. doi:10.1101/2021.04.11.439322.