Efficient Validation of Metabolic Pathway Databases

نویسندگان

  • Liliana Félix
  • Gabriel Valiente
چکیده

Metabolic pathway databases such as KEGG contain information on thousands of enzymatic reactions drawn from the biomedical literature. Ensuring consistency of such large metabolic pathways is essential to their proper use. In this paper, we develop an efficient method to determine consistency of an important class of enzymatic reactions, and test the method on the latest release of the KEGG LIGAND database.

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تاریخ انتشار 2005