PMDB

PMDB provides storage and access to three-dimensional protein models generated by computational structure prediction methods to support comparative and structural analyses.

Key Features:

• Structure Prediction Models: Collects 3D models derived from computational techniques including homology modeling, ab initio predictions, and threading.
• FAIR Principles Compliance: Adheres to FAIR (Findable, Accessible, Interoperable, Reusable) principles for data discoverability and reuse.
• Extensive Data Collection: Aggregates a wide array of predicted protein models from multiple prediction methods for comparative studies and validation.

Scientific Applications:

• Structural Biology Research: Enables study and comparison of predicted structures with experimentally determined protein structures.
• Drug Discovery: Provides predicted protein structures useful for identifying targets and characterizing molecular interactions.
• Educational Purposes: Supplies a repository of predicted protein structures for teaching protein structure prediction concepts.

Methodology:

Models are generated using homology modeling, ab initio predictions, and threading.