Publication Details

HinCyc: A Knowledge Base of the Complete Genome and Metabolic Pathways of H. influenzae

by Karp, P. D. and Ouzounis, C. and Paley, S. M.

in Proceedings of the Fourth International Conference on Intelligent Systems for Molecular Biology

Published by AAAI Press
Address: Menlo Park, CA
1996.

Abstract

We present a methodology for predicting the metabolic pathways of an organism from its genomic sequence by reference to a knowledge base of known metabolic pathways. We applied these techniques to the genome of H. influenzae by reference to the EcoCyc knowledge base to predict which of 81 metabolic pathways of E. coli are found in H. influenzae. The resulting prediction is a complex hypothesis that is presented in computer form as HinCyc: an electronic encyclopedia of the genes and metabolic pathways of H. influenzae. HinCyc connects the predicted genes, enzymes, enzyme-catalyzed reactions, and biochemical pathways in a WWW-accessible knowledge base to allow scientists to explore this complex hypothesis.

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AIC Personnel

	Name	Title	E-mail
	Karp, Peter D	Director, Bioinformatics Research Group
	Paley, Suzanne	Computer Scientist