TopEnzyme
TopEnzyme provides structural enzyme models to expand structural coverage of enzyme functional space for downstream structural analysis.
Key Features:
- Integration with Major Databases: Models and data are linked with the SWISS-MODEL repository and the AlphaFold Protein Structure Database.
- Model Coverage: The collection contains over 200,000 structural enzyme models representing approximately 60% of known enzyme functions and increasing coverage within Swiss-Prot in the absence of experimental structures.
- Quality Assessment: Model quality was evaluated with TopScore, yielding 9,039 good-quality and 1,297 high-quality structures.
- Comparison with AlphaFold2: Comparative analysis against AlphaFold2 models showed an average TopScore difference of 0.04 in favor of AlphaFold2.
- Novel-target Performance: Both TopModel-generated models and AlphaFold2 were tested on targets absent from their training databases and produced structurally coherent models for novel enzymes.
Scientific Applications:
- Structural Biology: Enables analysis of enzyme mechanisms and structural interpretation of enzyme function using representative models.
- Drug Discovery: Supports identification and structural characterization of enzyme active sites and potential drug targets.
- Protein Engineering: Provides diverse structural templates to inform the design and engineering of enzymes with modified or novel functionalities.
Methodology:
Structural models were generated with TopModel, integrated with data from the SWISS-MODEL repository and the AlphaFold Protein Structure Database, and model quality was assessed and compared using TopScore and AlphaFold2 models.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 11/7/2023
- Last Updated:
- 11/7/2023
Operations
Data Inputs & Outputs
Deposition
Outputs
Publications
van der Weg KJ, Gohlke H. TopEnzyme: a framework and database for structural coverage of the functional enzyme space. Bioinformatics. 2023;39(3). doi:10.1093/bioinformatics/btad116. PMID:36883717. PMCID:PMC10023222.