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Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
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Databases, Repositories, and Other Data Resources in Structural Biology.
Heping Zheng1, Przemyslaw J Porebski1, Marek Grabowski1
1Department of Molecular Physiology and Biological Physics, University of Virginia School of Medicine, 1340 Jefferson Park Avenue, Jordan Hall, Room 4223, Charlottesville, VA, 22908, USA.
Methods in Molecular Biology (Clifton, N.J.)
|June 3, 2017
Summary
Structural biology generates vast data requiring robust storage and management. This study categorizes data resources, proposing interconnected systems for advanced scientific discovery.
Area of Science:
- Structural biology and related scientific fields.
Background:
- Modern scientific research, including structural biology, generates substantial primary, derived, and meta-data.
- Effective data storage, manipulation, and accessibility are critical for scientific advancement and interpretation.
Purpose of the Study:
- To define and categorize data resources essential for structural biology.
- To propose a framework for integrating diverse data resources into advanced information systems.
Main Methods:
- Classification of data resources into Archives, Repositories, Databases, and Advanced Information Systems.
- Discussion of the requirements for maintaining, curating, and integrating these resources.
Main Results:
- Identification of distinct categories for accommodating various types of scientific data.
- Emphasis on the necessity of interconnectedness and evolution towards comprehensive data hubs.
Conclusions:
- Integrated data resources, such as the Protein Data Bank (PDB) and UniProt, are indispensable for structural biology and interdisciplinary research.
- The proposed categorization and integration strategy supports the advancement of scientific data management and discovery.
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