3D-Fun

3D-Fun predicts enzyme function from protein three-dimensional structures by comparing structural coordinates with known protein structures.


Key Features:

  • Structure-Based Functional Annotation: Predicts enzyme functions by analyzing three-dimensional protein structures rather than relying on sequence similarity.
  • Structural Superposition Analysis: Uses the 3D-Hit algorithm to perform structural superposition between query proteins and known protein structures.
  • Protein Structure Database Comparison: Compares submitted protein structures against a database of annotated protein structures to identify functional similarities.
  • Structural Alignment Visualization: Produces graphical representations of structural alignments to illustrate similarities between proteins.

Scientific Applications:

  • Protein Function Prediction: Enables functional annotation of proteins with known structures but unknown enzymatic activity.
  • Structural Genomics Analysis: Supports interpretation of newly determined protein structures generated by structural genomics projects.
  • Enzyme Discovery and Characterization: Facilitates identification of potential enzymatic functions through structural similarity analysis.

Methodology:

The method accepts protein structures in PDB format and performs three-dimensional structural superposition using the 3D-Hit algorithm to compare the query structure with known protein structures and infer functional similarity.

Topics

Details

Tool Type:
web application
Added:
2/14/2017
Last Updated:
11/25/2024

Operations

Publications

von Grotthuss M, Plewczynski D, Vriend G, Rychlewski L. 3D-Fun: predicting enzyme function from structure. Nucleic Acids Research. 2008;36(Web Server):W303-W307. doi:10.1093/nar/gkn308. PMID:18515349. PMCID:PMC2447717.