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September 14, 2001Science236 citations

Pathway Databases: A Case Study in Computational Symbolic Theories

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PKPeter D. Karp

Key Points

  • To explore how pathway databases encode scientific theories in symbolic form for advanced computational analysis.
  • Case study focused on the EcoCyc pathway database.
  • Explained the structure of biochemical pathways, reactions, and enzymes using a formal ontology.
  • Discussed the implications of encoding scientific theories for computational analysis.
  • Demonstrated that pathway databases can handle large, complex theories effectively.
  • Showed that symbolic encoding offers better tools for analysis and understanding of biochemical networks.

Abstract

A pathway database (DB) is a DB that describes biochemical pathways, reactions, and enzymes. The EcoCyc pathway DB (see http://ecocyc.org) describes the metabolic, transport, and genetic-regulatory networks of Escherichia coli. EcoCyc is an example of a computational symbolic theory, which is a DB that structures a scientific theory within a formal ontology so that it is available for computational analysis. It is argued that by encoding scientific theories in symbolic form, we open new realms of analysis and understanding for theories that would otherwise be too large and complex for scientists to reason with effectively.

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Cite This Study

Peter D. Karp (2001) studied this question.

synapsesocial.com/papers/6a0ec3838da6dd046147af80https://doi.org/10.1126/science.1064621
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