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PMID: 8877511 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S.

HinCyc: a knowledge base of the complete genome and metabolic pathways of H. influenzae.

Proceedings. International Conference on Intelligent Systems for Molecular Biology ·Vol. 4 ·1996-00-00 ·Pages 116-24

Karp PD, Ouzounis C, Paley S

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.

MeSH Terms
Computer Communication Networks Escherichia coli/genetics Genome, Bacterial Genome, Viral Haemophilus influenzae/genetics Models, Biological Software
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Karp P D
Artificial Intelligence Center, SRI International, Menlo Park, CA 94025, USA. [email protected]
Ouzounis C
Paley S
Article Info
Journal
Proceedings. International Conference on Intelligent Systems for Molecular Biology
Abbr.
Proc Int Conf Intell Syst Mol Biol
ISSN
1553-0833
Published
1996-00-00
Pages
116-24
Language
English
Region
United States
NLM ID
9509125
Subset
IM
Grants
NCRR NIH HHS · 1-RO1-RR07861-01 · United States
NLM NIH HHS · R29-LM-05413-01A1 · United States
External Links
PubMed source
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