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STATdb: a specialised resource for the STATome.

C Pawan K Patro1, Asif M Khan2, Tin Wee Tan1

  • 1Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.

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|August 27, 2014
PubMed
Summary
This summary is machine-generated.

We developed STATdb, a centralized database for Signal Transducer and Activator of Transcription (STAT) protein sequences. STATdb integrates diverse data, offers advanced analysis, and supports community contributions for STAT research.

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Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Genomics

Background:

  • Signal transducers and activators of transcription (STAT) proteins are crucial signaling molecules in metazoans, involved in diverse cellular functions.
  • Existing STAT sequence, structure, and functional data are fragmented across multiple databases, lacking comprehensive annotations and leading to redundant efforts.
  • There is a significant need for a unified repository to consolidate and enrich STAT data, facilitating community-driven research.

Purpose of the Study:

  • To introduce STATdb, the first integrated database for STAT protein sequences, consolidating existing data and providing enhanced functional annotations.
  • To create a centralized platform for STATome data, enabling advanced analysis, visualization, and prediction.
  • To establish a framework for community contributions and ensure data consistency and updates.

Main Methods:

  • Compilation of 1540 STAT sequence records representing the known STATome.
  • Integration of existing structural and functional information from public databases and scientific literature.
  • Development of manual annotation processes and a meta-predictor for STAT sequence characterization based on domain architecture, lineage, and function.

Main Results:

  • STATdb is established as a comprehensive resource for STAT sequences, integrating diverse data types.
  • The database offers advanced features for data visualization, analysis, and prediction.
  • A novel meta-predictor classifies STAT sequences, and a community contribution workflow is implemented.

Conclusions:

  • STATdb serves as a valuable, integrated resource for the scientific community studying STAT proteins.
  • The platform facilitates research by providing unified access to annotated STAT data and advanced analytical tools.
  • Community involvement through a defined curation policy ensures the continuous growth and accuracy of the STATdb resource.