The Protein Geometry Database (PGD)
The Protein Geometry Database provides a database correlating protein backbone bond lengths, bond angles, and planarity with backbone conformation (φ, Ψ) to support analysis of protein structure and function.
Key Features:
- Comprehensive Querying Capabilities: Enables queries focused on conformation or backbone geometry independently as well as queries of their interrelationships.
- Assessment of Uniqueness: Enables evaluation of the uniqueness of specific conformational or geometric features observed within protein structures.
- Discovery of Novel Features and Principles: Provides systematic access to correlations between backbone geometry and conformation to facilitate identification of previously unrecognized structural patterns or principles.
Scientific Applications:
- Structural Biology: Analyze geometric constraints imposed by backbone conformations to study protein folding and stability.
- Protein Engineering: Identify unique geometric features to guide design or modification of protein scaffolds.
- Drug Design: Characterize conformational flexibility and geometric properties of target proteins to inform rational drug design.
Methodology:
PGD compiles a dataset correlating backbone bond lengths, bond angles, and planarity with backbone dihedral angles φ and Ψ.
Topics
Details
- License:
- Apache-2.0
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Python
- Added:
- 3/27/2017
- Last Updated:
- 6/16/2020
Operations
Publications
Berkholz DS, Krenesky PB, Davidson JR, Karplus PA. Protein Geometry Database: a flexible engine to explore backbone conformations and their relationships to covalent geometry. Nucleic Acids Research. 2009;38(suppl_1):D320-D325. doi:10.1093/nar/gkp1013. PMID:19906726. PMCID:PMC2808862.
Documentation
Links
Repository
https://github.com/Karplus-Lab-OSU/pgdIssue tracker
https://github.com/Karplus-Lab-OSU/pgd/issues