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Covid-19.bioreproducibility.org: A web resource for SARS-CoV-2-related structural models
Dariusz Brzezinski1,2,3, Marcin Kowiel2, David R Cooper1
1Department of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, Virginia, USA.
Protein Science : a Publication of the Protein Society
|September 27, 2020
Summary
A new online resource provides expert-verified structural models of SARS-CoV-2 proteins. This helps researchers easily access and understand crucial data for developing COVID-19 treatments.
Area of Science:
- Structural Biology
- Virology
- Bioinformatics
Background:
- The COVID-19 pandemic spurred extensive research into SARS-CoV-2, including determining numerous protein and nucleic acid structures.
- A growing number of experimental X-ray, cryo-electron microscopy (cryo-EM), and nuclear magnetic resonance (NMR) structures are available.
- Biomedical researchers may lack specialized structural biology expertise, creating a need for accessible information.
Purpose of the Study:
- To present a curated online resource for SARS-CoV-2-related macromolecular structures.
- To aid researchers in navigating and understanding the vast amount of available structural data.
- To provide expert-verified information on the reliability and characteristics of these structures.
Main Methods:
- Development of the covid19.bioreproducibility.org web resource.
- Aggregation of expert-verified information on SARS-CoV-2 macromolecular models.
- Implementation of tools and methodologies for assessing the quality and features of structural models.
Main Results:
- The creation of a centralized, searchable database of SARS-CoV-2 structures.
- Provision of expert assessments to enhance the usability of structural data.
- Facilitation of easier access to reliable structural information for a wider research community.
Conclusions:
- The developed web resource serves as a valuable tool for biomedical researchers studying SARS-CoV-2.
- Improved access to verified structural data can accelerate the understanding of the virus and the development of therapeutics.
- Standardized assessment methodologies contribute to the reproducibility of structural biology research.
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