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Published on: January 20, 2022
WDSPdb: an updated resource for WD40 proteins.
Jing Ma1, Ke An1, Jing-Bo Zhou1
1Lab of Computational Chemistry and Drug Design, State Key Laboratory of Chemical Oncogenomics, Peking University Shenzhen Graduate School, Shenzhen 518055, China.
WDSPdb 2.0 offers enhanced structural predictions and variant data for WD40-repeat proteins, aiding in understanding cellular complex assembly and function. This updated resource significantly expands its database for researchers.
Area of Science:
- Biochemistry and Molecular Biology
- Structural Biology
- Bioinformatics
Background:
- WD40-repeat proteins are crucial scaffold molecules involved in diverse cellular processes.
- Understanding their structure is essential for elucidating protein-protein interactions and complex assembly.
- Existing resources may lack comprehensive structural and variant data for this protein family.
Purpose of the Study:
- To present WDSPdb 2.0, a substantially updated database of WD40-repeat proteins.
- To provide accurate secondary and tertiary structure predictions and featured site annotations.
- To integrate a wide range of genetic and protein interaction variant data.
Main Methods:
- Development of an optimized computational pipeline for structure prediction.
- Integration of data from multiple public databases including ClinVar, Cosmic, and IntAct.
- Enhancement of web interface for improved data visualization and exploration.
Main Results:
- WDSPdb 2.0 contains approximately 600,000 entries, a tenfold increase.
- The database integrates over 37,000 variants from diverse sources.
- Significant improvements in web-based visualization, exploration, and data downloading capabilities.
Conclusions:
- WDSPdb 2.0 is a vastly expanded and improved resource for studying WD40-repeat proteins.
- The integrated structural and variant data facilitates research into protein function and disease association.
- Enhanced usability empowers researchers to explore complex protein interactions more effectively.
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