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Bioinformatics Advance Access published online on February 2, 2009
Bioinformatics, doi:10.1093/bioinformatics/btp061
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© The Author (2009). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Systems Biology Metabolic Modeling Assistant (SBMM): An on-tology-based tool for the integration of metabolic data in kinetic modeling

Armando Reyes-Palomares 1a, Raul Montañez 1a, Alejando del Real-Chicharro 1, Othmane Chniber 2, Amine Kerzazi 2, Ismael Navas-Delgado 2, Miguel Ángel Medina 1, José Aldana. Montes 2 and Francisca Sánchez-Jiménez 1,*

1Department of Molecular Biology and Biochemistry and unit 741 of CIBER "de Enfermedades Raras" , University of Málaga, Campus de Teatinos, University of Malaga, 29071, Spain.
2Department of Computer Languages and Computational Sciences, University of Málaga, Campus de Teatinos, University of Malaga, 29071, Spain.

*To whom correspondence should be addressed. Miss Miguel Medina, E-mail: kika{at}uma.es


  Abstract

Summary: We present SBMM Assistant, a tool built using an ontology-based mediator, and designed to facilitate metabolic modeling through the integration of data from repositories that contain valuable metabolic information. This software can be used for the visualization, design and management of metabolic networks; selection, integration and storage of metabolic information; and as an assistant for kinetic modeling.

Availability: SBMM Assistant is freely available for academic use at http://www.sbmm.uma.es.

Contact: kika{at}uma.es

Associate Editor: Dr. Trey Ideker

Received on December 27, 2008; revised on December 27, 2008; accepted on January 24, 2009

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