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Coronavirus3D: 3D structural visualization of COVID-19 genomic divergence
Mayya Sedova1, Lukasz Jaroszewski1, Arghavan Alisoltani1
1Division of Biomedical Sciences, University of California Riverside School of Medicine, Riverside, CA 92521, USA.
The Coronavirus3D website visualizes SARS-CoV-2 mutations within protein 3D structures, aiding researchers in understanding viral evolution during the COVID-19 pandemic.
Area of Science:
- Virology
- Structural Biology
- Bioinformatics
Background:
- The COVID-19 pandemic is driven by the SARS-CoV-2 virus, which continuously evolves through mutations.
- These mutations can alter the functions of viral proteins, impacting disease transmission and severity.
Purpose of the Study:
- To develop a resource for visualizing SARS-CoV-2 mutations in the context of protein 3D structures.
- To facilitate the analysis of how mutations affect viral protein function.
Main Methods:
- Integration of SARS-CoV-2 mutation data with protein structural information.
- Development of a web-based platform for interactive visualization.
Main Results:
- The Coronavirus3D website provides a user-friendly interface to explore mutations.
- Users can visually analyze the impact of mutations on protein structures.
Conclusions:
- Coronavirus3D serves as a valuable tool for researchers studying SARS-CoV-2 evolution.
- Enhanced understanding of mutation effects can inform therapeutic and diagnostic strategies.
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