CoV3D: a database of high resolution coronavirus protein structures

Area of Science:

• Structural biology
• Virology
• Drug discovery

Background:

• Coronaviruses, including SARS-CoV-2, pose significant global health threats.
• The rapid increase in SARS-CoV-2 protein structures highlights viral vulnerabilities.
• Effective vaccines and therapies are urgently needed to combat coronavirus infections.

Purpose of the Study:

• To develop CoV3D, a comprehensive, weekly updated database of coronavirus protein structures.
• To support structure-based design of vaccines and therapeutics against coronaviruses.
• To provide a centralized resource for the research community.

Main Methods:

• Compilation and weekly updates of high-resolution coronavirus protein structures.
• Integration of molecular viewers for structure visualization.
• Development of tools for analyzing spike glycoprotein structures, including N-glycosylation and conformations.

Main Results:

• CoV3D provides extensive sets of coronavirus protein structures and their complexes.
• Users can visualize and download spike glycoprotein structures with modeled N-glycosylation.
• Structure-based classification of spike conformations is available through unsupervised clustering.

Conclusions:

• CoV3D serves as a valuable, centralized resource for coronavirus structural information.
• The database facilitates structure-based design of vaccines and therapeutics.
• Enhanced understanding of coronavirus protein structures aids in combating global health threats.