TranSyT
TranSyT automates identification and integration of transport systems into genome-scale metabolic models to generate transport reactions with Gene-Protein-Reaction (GPR) associations.
Key Features:
- Automatically updated internal database: Builds and maintains an internal database derived from curated records of the Transporter Classification Database (TCDB) and supplemented with additional data sources.
- Transporter family and protein compilation: Compiles comprehensive information about transporter families, proteins, and their associated reactions.
- Genome-wide annotation: Provides automated annotation of transport systems across complete genomes without requiring manual curation.
- Reaction derivation with GPRs: Derives transport reactions that include Gene-Protein-Reaction (GPR) associations.
- Cross-database reaction export: Exports transport reactions annotated with identifiers from four different metabolite databases.
- Metabolic model integration: Produces integration-ready transport reactions for incorporation into genome-scale metabolic models.
Scientific Applications:
- Genome-scale model refinement: Enhances completeness and accuracy of genome-scale metabolic models by adding transport reactions and GPR associations.
- Transport system annotation: Enables systematic identification and annotation of transporter proteins and families in sequenced genomes.
- Cross-database interoperability: Facilitates mapping of transport reactions across metabolite databases for comparative and integrative analyses.
- Study of cellular transport mechanisms: Supports investigations into cellular transport processes by providing curated reaction and transporter datasets.
Methodology:
Assembles an automatically updated internal database from TCDB and supplementary sources, compiles transporter family/protein/reaction data, derives transport reactions including GPR associations, and exports reactions annotated with identifiers from four metabolite databases.
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- web application
- Programming Languages:
- Java, Python
- Added:
- 1/28/2024
- Last Updated:
- 11/24/2024
Operations
Publications
Cunha E, Lagoa D, Faria JP, Liu F, Henry CS, Dias O. <i>TranSyT</i>, an innovative framework for identifying transport systems. Bioinformatics. 2023;39(8). doi:10.1093/bioinformatics/btad466. PMID:37589572. PMCID:PMC10444967.
PMID: 37589572
PMCID: PMC10444967
Funding: - Portuguese Foundation for Science and Technology: UIDB/04469/2020
Links
Repository
https://github.com/BioSystemsUM/transyt