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A Web Tool for Generating High Quality Machine-readable Biological Pathways
Published on: February 8, 2017
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Data publication with the structural biology data grid supports live analysis
Peter A Meyer1, Stephanie Socias1, Jason Key1
1Department of Biological Chemistry and Molecular Pharmacology, Boston, Massachusetts 02115, USA.
Nature Communications
|March 8, 2016
Summary
The Structural Biology Data Grid (SBDG) preserves and shares X-ray diffraction data, enabling validation and improved analysis of macromolecular structures. This system enhances reproducibility and advances structural biology research.
Area of Science:
- Structural Biology
- Biophysics
- Data Science
Background:
- Access to experimental X-ray diffraction data is crucial for validating macromolecular models.
- Reproducibility and development of new processing methods rely on primary data availability.
Purpose of the Study:
- To establish a system for publishing and disseminating diffraction data.
- To preserve primary experimental data sets supporting scientific publications.
- To facilitate global data access for researchers.
Main Methods:
- Development of the Structural Biology Data Grid (SBDG) data publication and dissemination system.
- Archiving primary experimental X-ray diffraction data sets.
- Analysis of pilot crystallographic data sets to assess data quality and reprocessability.
Main Results:
- The SBDG system successfully preserves and disseminates diffraction data.
- Archived data is sufficient to reprocess data to meet or exceed original published structure quality.
- The SBDG has expanded services to the wider community and supports other biomedical data types.
Conclusions:
- The SBDG enhances the paradigm shift towards dynamic, continuously improving data analysis in structural biology.
- Global access to experimental data through SBDG promotes validation, reproducibility, and advancement of the field.
