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Journal of Integrative Bioinformatics

Editor-in-Chief: Schreiber, Falk / Hofestädt, Ralf

Managing Editor: Sommer, Björn

Ed. by Baumbach, Jan / Chen, Ming / Orlov, Yuriy / Allmer, Jens

Editorial Board: Giorgetti, Alejandro / Harrison, Andrew / Kochetov, Aleksey / Krüger, Jens / Ma, Qi / Matsuno, Hiroshi / Mitra, Chanchal K. / Pauling, Josch K. / Rawlings, Chris / Fdez-Riverola, Florentino / Romano, Paolo / Röttger, Richard / Shoshi, Alban / Soares, Siomar de Castro / Taubert, Jan / Tauch, Andreas / Yousef, Malik / Weise, Stephan

4 Issues per year


CiteScore 2017: 0.77

SCImago Journal Rank (SJR) 2017: 0.336

Open Access
Online
ISSN
1613-4516
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Volume 15, Issue 1

Issues

SBML Level 3 Package: Flux Balance Constraints version 2

Brett G. OlivierORCID iD: http://orcid.org/0000-0002-5293-5321
  • Corresponding author
  • Systems Bioinformatics, AIMMS, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
  • Modelling of Biol. Processes, BioQUANT/COS, Heidelberg University, Heidelberg, Germany
  • Department of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA, USA
  • orcid.org/0000-0002-5293-5321
  • Email
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Frank T. BergmannORCID iD: http://orcid.org/0000-0001-5553-4702
Published Online: 2018-03-09 | DOI: https://doi.org/10.1515/jib-2017-0082

Abstract

Constraint-based modeling is a well established modeling methodology used to analyze and study biological networks on both a medium and genome scale. Due to their large size and complexity such steady-state flux models are, typically, analyzed using constraint-based optimization techniques, for example, flux balance analysis (FBA). The Flux balance constraints (FBC) Package extends SBML Level 3 and provides a standardized format for the encoding, exchange and annotation of constraint-based models. It includes support for modeling concepts such as objective functions, flux bounds and model component annotation that facilitates reaction balancing. Version two expands on the original release by adding official support for encoding gene-protein associations and their associated elements. In addition to providing the elements necessary to unambiguously encode existing constraint-based models, the FBC Package provides an open platform facilitating the continued, cross-community development of an interoperable, constraint-based model encoding format.

Keywords: SBML; constraint-based modeling; standards

About the article

Received: 2017-12-21

Accepted: 2018-02-08

Published Online: 2018-03-09


Citation Information: Journal of Integrative Bioinformatics, Volume 15, Issue 1, 20170082, ISSN (Online) 1613-4516, DOI: https://doi.org/10.1515/jib-2017-0082.

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©2018 Brett G. Olivier et al., published by De Gruyter. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0

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