3D-Beacons
3D-Beacons provides unified programmatic access to experimental and predicted protein structure models and associated metadata to connect protein sequences with structural information for comparative analysis and functional inference.
Key Features:
- Federated integration: Integrates diverse model providers into a cohesive federated network for unified data access.
- Experimental and predicted models: Aggregates experimentally determined structures (including entries from the Protein Data Bank (PDB)) alongside computationally predicted models.
- Coordinate files and metadata aggregation: Collates coordinate files and accompanying metadata from multiple sources.
- Comparative analysis support: Enables gathering and comparing models derived from different methodologies to assess model suitability.
- Support for computational modeling outputs: Includes models produced by state-of-the-art and specialized computational protein modeling techniques.
- Linking sequences to structure and quaternary information: Connects protein sequences to structural data, including quaternary-structure information, to aid functional inference.
Scientific Applications:
- Model comparison and selection: Compare models from multiple providers to identify structures most appropriate for a given research question.
- Functional inference from structure: Support inference of protein function through analysis of quaternary structures and structural features.
- Consolidation for downstream analyses: Consolidate experimental and predicted structural data for incorporation into bioinformatics and structural biology workflows.
Methodology:
Implements a federated network that aggregates coordinate files and metadata from diverse model providers, including the Protein Data Bank (PDB), and exposes unified programmatic access for comparative analyses of experimental and computational protein structure models.
Topics
Details
- License:
- Apache-2.0
- Maturity:
- Emerging
- Cost:
- Free of charge
- Tool Type:
- api, command-line tool
- Programming Languages:
- Python, JavaScript
- Added:
- 9/20/2022
- Last Updated:
- 11/24/2024
Operations
Publications
Varadi M, Nair S, Sillitoe I, Tauriello G, Anyango S, Bienert S, Borges C, Deshpande M, Green T, Hassabis D, Hatos A, Hegedus T, Hekkelman ML, Joosten R, Jumper J, Laydon A, Molodenskiy D, Piovesan D, Salladini E, Salzberg SL, Sommer MJ, Steinegger M, Suhajda E, Svergun D, Tenorio-Ku L, Tosatto S, Tunyasuvunakool K, Waterhouse AM, Žídek A, Schwede T, Orengo C, Velankar S. 3D-Beacons: Decreasing the gap between protein sequences and structures through a federated network of protein structure data resources. Unknown Journal. 2022. doi:10.1101/2022.08.01.501973.