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
Funding: - Portuguese Foundation for Science and Technology: UIDB/04469/2020

Links