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