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Related Experiment Videos

Bioinformatics of cellular signalling.

Shankar Subramaniam1,

  • 1Department of Bioengineering, The University of California at San Diego and The San Diego Supercomputer Center, La Jolla, CA 92037, USA.

Novartis Foundation Symposium
|January 24, 2003
PubMed
Summary
This summary is machine-generated.

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Understanding cellular signaling pathways is crucial for medicine. The Alliance for Cellular Signaling (AfCS) uses bioinformatics to map these complex molecular interactions and cellular responses.

Area of Science:

  • Cellular Biology
  • Bioinformatics
  • Systems Biology

Background:

  • Human genome sequencing reveals complex biochemical pathways.
  • Cellular signaling pathways are critical for cellular function and are of paramount importance to medicine and pharmacology.
  • Deciphering signaling pathways involves identifying molecules, interactions, spatiotemporal localization, and network reconstruction.

Purpose of the Study:

  • To describe bioinformatics strategies used by the Alliance for Cellular Signaling (AfCS).
  • To utilize high-throughput approaches for context-specific knowledge of cellular response to input.
  • To reconstruct and mathematically model signaling networks for quantitative analysis.

Main Methods:

  • High-throughput experimental investigations.

Related Experiment Videos

  • Bioinformatics strategies for data organization and knowledge discovery.
  • Integration of experimental data with public gene and protein annotations.

    • Main Results:

    • Development of strategies to organize high-throughput data into knowledge, models, and context-specific understanding.
    • Reconstruction of signaling networks using AfCS data and public annotations.
    • Mathematical modeling of reconstructed networks to obtain quantitative cellular response measures.

    Conclusions:

    • Bioinformatics is essential for deciphering complex cellular signaling pathways.
    • The AfCS project aims to build a comprehensive understanding of cellular signaling networks.
    • Mathematical modeling of signaling networks enables quantitative analysis of cellular responses.