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Representing and analysing molecular and cellular function using the computer.

J van Helden1, A Naim, R Mancuso

  • 1European Bioinformatics Institute (EBI), Hinxton, Cambridge, UK.

Biological Chemistry
|November 15, 2000
PubMed
Summary
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Understanding gene interactions is key in biology. This review presents a new data model for representing molecular function and cellular processes, aiding biological systems analysis.

Area of Science:

  • Bioinformatics
  • Systems Biology
  • Genomics

Background:

  • The post-genomic era faces challenges in determining gene function and cellular interactions.
  • Complex biological systems require computational tools for analyzing interaction networks.

Purpose of the Study:

  • To review current methods for representing biological function and gene product categorization.
  • To introduce a novel data model for rigorous description of molecular function and cellular processes.

Main Methods:

  • Discussion of challenges in defining biological function.
  • Overview of biological databases and categorization systems.
  • Presentation of a new general data model for molecular and cellular processes.

Main Results:

Related Experiment Videos

  • The proposed data model can represent diverse biochemical processes like metabolic pathways, gene expression regulation, and signal transduction.
  • It includes taxonomies for molecular entities, interactions, and processes, allowing varied resolution views and handling incomplete knowledge.
  • The model is implemented in the 'aMAZE' database, focusing on metabolic pathways and their regulation.

Conclusions:

  • The developed data model provides a robust framework for representing complex biological information.
  • The 'aMAZE' database and associated tools demonstrate practical applications for pathway analysis.
  • This approach facilitates a deeper understanding of cellular components and their intricate interactions.