h4Coronavirus3D
h4Coronavirus3D visualizes and maps SARS-CoV-2 genomic mutations onto three-dimensional viral protein structures to analyze their potential effects on protein stability, interactions, and viral function.
Key Features:
- Integration of mutation data with protein structures: Integrates SARS-CoV-2 mutation data with three-dimensional viral protein structures to localize genetic changes in a structural context.
- Structural mapping of mutations: Maps individual nucleotide or amino-acid substitutions onto 3D protein models to enable spatial analysis of residue changes.
- Impact analysis on stability and interactions: Analyzes potential impacts of mutations on protein stability and on protein–protein or protein–ligand interactions.
- Visualization of genomic divergence: Visualizes genomic divergence of SARS-CoV-2 in structural context to support comparative and evolutionary analyses.
Scientific Applications:
- Mutation Analysis: Identify SARS-CoV-2 mutations that occupy structurally sensitive positions and may affect protein function.
- Protein Function Prediction: Support prediction of functional shifts in viral proteins resulting from specific amino-acid substitutions relevant to vaccine and therapeutic evaluation.
- Evolutionary Studies: Track and interpret the structural consequences of genomic divergence and the fixation of mutations over time in SARS-CoV-2 populations.
Methodology:
Combines genomic mutation data with structural biology techniques by mapping mutations onto three-dimensional protein models to provide spatial representations for analysis of effects on stability and interactions.
Topics
Details
- Tool Type:
- web application
- Added:
- 1/18/2021
- Last Updated:
- 1/30/2021
Operations
Publications
Sedova M, Jaroszewski L, Alisoltani A, Godzik A. Coronavirus3D: 3D structural visualization of COVID-19 genomic divergence. Bioinformatics. 2020;36(15):4360-4362. doi:10.1093/bioinformatics/btaa550. PMID:32470119. PMCID:PMC7314196.