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Related Experiment Videos

RIBOWEB: linking structural computations to a knowledge base of published experimental data

R O Chen1, R Felciano, R B Altman

  • 1Section on Medical Informatics, MSOB X-215 Stanford University, CA 94305-5479, USA. rchen@smi.stanford.edu

Proceedings. International Conference on Intelligent Systems for Molecular Biology
|January 1, 1997
PubMed
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Riboweb integrates biological data and computational tools online, streamlining scientific reasoning. This resource links computations with semantic data models to facilitate hypothesis testing and model refinement for biological structures.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Structural Biology

Background:

  • The World Wide Web (WWW) is crucial for biological data storage and dissemination.
  • Current separation of computational tools from data hinders iterative hypothesis testing.
  • Linking computations with semantic data models can facilitate scientific reasoning.

Purpose of the Study:

  • To develop an integrated online resource (Riboweb) that links computational analysis with biological data.
  • To support the creation and refinement of three-dimensional structural models.
  • To facilitate the cycle of scientific reasoning in biology.

Main Methods:

  • Developed Riboweb, an on-line knowledge-based resource.
  • Incorporated a knowledge base with physical components and structural data.

Related Experiment Videos

  • Integrated computational modules for model building and analysis.
  • Implemented a web-based user interface for multi-user access and computations.

    • Main Results:

    • A prototype of Riboweb was successfully built and tested.
    • Riboweb was used to refine a structural model of the 30S ribosomal subunit central domain from E. coli.
    • The three-component architecture effectively delivers integrated computational capabilities.

    Conclusions:

    • Riboweb facilitates the cycle of scientific reasoning by integrating data and computation.
    • Sophisticated computational tools can be delivered to biologists via a simple web-based architecture.
    • This approach enhances the ability to test hypotheses and refine biological models.