Literature DB >> 29522419

SBML Level 3 Package: Flux Balance Constraints version 2.

Brett G Olivier1,2,3, Frank T Bergmann2,3.   

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

Mesh:

Year:  2018        PMID: 29522419      PMCID: PMC6167036          DOI: 10.1515/jib-2017-0082

Source DB:  PubMed          Journal:  J Integr Bioinform        ISSN: 1613-4516


  19 in total

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3.  RunBioSimulations: an extensible web application that simulates a wide range of computational modeling frameworks, algorithms, and formats.

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4.  BioUML: an integrated environment for systems biology and collaborative analysis of biomedical data.

Authors:  Fedor Kolpakov; Ilya Akberdin; Timur Kashapov; Llya Kiselev; Semyon Kolmykov; Yury Kondrakhin; Elena Kutumova; Nikita Mandrik; Sergey Pintus; Anna Ryabova; Ruslan Sharipov; Ivan Yevshin; Alexander Kel
Journal:  Nucleic Acids Res       Date:  2019-07-02       Impact factor: 16.971

Review 5.  Specifications of Standards in Systems and Synthetic Biology: Status and Developments in 2019.

Authors:  Falk Schreiber; Björn Sommer; Gary D Bader; Padraig Gleeson; Martin Golebiewski; Michael Hucka; Sarah M Keating; Matthias König; Chris Myers; David Nickerson; Dagmar Waltemath
Journal:  J Integr Bioinform       Date:  2019-07-13

6.  A systematic assessment of current genome-scale metabolic reconstruction tools.

Authors:  Sebastián N Mendoza; Brett G Olivier; Douwe Molenaar; Bas Teusink
Journal:  Genome Biol       Date:  2019-08-07       Impact factor: 13.583

7.  BiGG Models 2020: multi-strain genome-scale models and expansion across the phylogenetic tree.

Authors:  Charles J Norsigian; Neha Pusarla; John Luke McConn; James T Yurkovich; Andreas Dräger; Bernhard O Palsson; Zachary King
Journal:  Nucleic Acids Res       Date:  2020-01-08       Impact factor: 16.971

Review 8.  Curating and comparing 114 strain-specific genome-scale metabolic models of Staphylococcus aureus.

Authors:  Alina Renz; Andreas Dräger
Journal:  NPJ Syst Biol Appl       Date:  2021-06-29

9.  Modeling Meets Metabolomics-The WormJam Consensus Model as Basis for Metabolic Studies in the Model Organism Caenorhabditis elegans.

Authors:  Michael Witting; Janna Hastings; Nicolas Rodriguez; Chintan J Joshi; Jake P N Hattwell; Paul R Ebert; Michel van Weeghel; Arwen W Gao; Michael J O Wakelam; Riekelt H Houtkooper; Abraham Mains; Nicolas Le Novère; Sean Sadykoff; Frank Schroeder; Nathan E Lewis; Horst-Joachim Schirra; Christoph Kaleta; Olivia Casanueva
Journal:  Front Mol Biosci       Date:  2018-11-14

10.  Tellurium notebooks-An environment for reproducible dynamical modeling in systems biology.

Authors:  J Kyle Medley; Kiri Choi; Matthias König; Lucian Smith; Stanley Gu; Joseph Hellerstein; Stuart C Sealfon; Herbert M Sauro
Journal:  PLoS Comput Biol       Date:  2018-06-15       Impact factor: 4.475

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