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Research at the interface of chemistry and biology: chemical biology, -omics sciences and systems biology.
Impact Factor 2.829 12 Issues per Year Indexed in Medline

A design automation framework for computational bioenergetics in biological networks

Corresponding authors
Computer Laboratory, University of Cambridge, William Gates Building, 15 JJ Thomson Avenue, Cambridge, UK
Department of Mathematics & Computer Science, University of Catania, Viale Andrea Doria 6, Catania, Italy
Mol. BioSyst., 2013,9, 2554-2564

DOI: 10.1039/C3MB25558A
Received 04 Dec 2012, Accepted 04 Jul 2013
First published online 04 Jul 2013

This article is part of themed collection: Molecular BioSystems Network Biology
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