TRANSPATH: A High-Quality Database for Signal Transduction
Author Information
Author(s): Claudia Choi, Mathias Krull, Alexander Kel, Olga Kel-Margoulis, Susanne Pistor, Anatolij Potapov, Nico Voss, Edgar Wingender
Primary Institution: BIOBASE GmbH
Conclusion
TRANSPATH provides a comprehensive database for understanding signal transduction networks and identifying potential drug targets.
Supporting Evidence
- TRANSPATH contains over 72% of all basic molecules as mammalian proteins.
- Release 4.3 includes about 2400 human proteins and 34% of all basic proteins in the database.
- TRANSPATH allows for stepwise pathway reconstruction from ligands to regulated genes.
Takeaway
TRANSPATH is like a big library that helps scientists understand how signals in our cells work and find new medicine targets.
Methodology
Data was manually extracted from primary literature, focusing on direct reactions between signaling molecules and their experimental evidence.
Potential Biases
Potential bias from reliance on expert biologists for data extraction and the subjective nature of quality assessments.
Limitations
High-throughput data may not reflect physiological conditions, and automatic text mining has limitations in quality and detail.
Digital Object Identifier (DOI)
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