Literature DB >> 17237071

SBaddon: high performance simulation for the Systems Biology Toolbox for MATLAB.

Henning Schmidt1.   

Abstract

UNLABELLED: We present the SBaddon package as an extension to the Systems Biology Toolbox for MATLAB (SBtoolbox). The goal of this extension is to provide the users of the SBtoolbox with important functionality that is needed for parameter estimation applications. While simulation in the SBtoolbox relies on the MATLAB ODE solvers, the SBaddon package provides considerably increased simulation performance through automatic generation of compiled simulation functions. Furthermore, the package contains improved optimization algorithms, forward parameter sensitivity analysis and basic numeric parameter identifiability analysis. AVAILABILITY: The SBaddon package is open source and freely available for non-commercial use. Commercial use of SBaddon is only possible through a specific licensing agreement (contact sbaddon@sbtoolbox.org). SBaddon can be obtained from http://www.sbtoolbox.org/SBaddon. The website also contains extensive documentation, and examples.

Entities:  

Mesh:

Year:  2007        PMID: 17237071     DOI: 10.1093/bioinformatics/btl668

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  16 in total

1.  Modeling the effect of Kv1.5 block on the canine action potential.

Authors:  Joachim Almquist; Mikael Wallman; Ingemar Jacobson; Mats Jirstrand
Journal:  Biophys J       Date:  2010-11-03       Impact factor: 4.033

2.  A systems biology analysis connects insulin receptor signaling with glucose transporter translocation in rat adipocytes.

Authors:  Niclas Bergqvist; Elin Nyman; Gunnar Cedersund; Karin G Stenkula
Journal:  J Biol Chem       Date:  2017-05-11       Impact factor: 5.157

3.  A multiscale modeling approach to investigate molecular mechanisms of pseudokinase activation and drug resistance in the HER3/ErbB3 receptor tyrosine kinase signaling network.

Authors:  Shannon E Telesco; Andrew J Shih; Fei Jia; Ravi Radhakrishnan
Journal:  Mol Biosyst       Date:  2011-04-20

4.  A single mechanism can explain network-wide insulin resistance in adipocytes from obese patients with type 2 diabetes.

Authors:  Elin Nyman; Meenu Rohini Rajan; Siri Fagerholm; Cecilia Brännmark; Gunnar Cedersund; Peter Strålfors
Journal:  J Biol Chem       Date:  2014-10-15       Impact factor: 5.157

5.  Systems-wide Experimental and Modeling Analysis of Insulin Signaling through Forkhead Box Protein O1 (FOXO1) in Human Adipocytes, Normally and in Type 2 Diabetes.

Authors:  Meenu Rohini Rajan; Elin Nyman; Preben Kjølhede; Gunnar Cedersund; Peter Strålfors
Journal:  J Biol Chem       Date:  2016-05-20       Impact factor: 5.157

6.  Mathematical modeling of white adipocyte exocytosis predicts adiponectin secretion and quantifies the rates of vesicle exo- and endocytosis.

Authors:  Cecilia Brännmark; William Lövfors; Ali M Komai; Tom Axelsson; Mickaël F El Hachmane; Saliha Musovic; Alexandra Paul; Elin Nyman; Charlotta S Olofsson
Journal:  J Biol Chem       Date:  2017-09-25       Impact factor: 5.157

Review 7.  Improving collaboration by standardization efforts in systems biology.

Authors:  Andreas Dräger; Bernhard Ø Palsson
Journal:  Front Bioeng Biotechnol       Date:  2014-12-08

8.  Proceedings of the 2009 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) conference. Introduction.

Authors:  Jonathan D Wren; Yuriy Gusev; Raphael D Isokpehi; Daniel Berleant; Ulisses Braga-Neto; Dawn Wilkins; Susan Bridges
Journal:  BMC Bioinformatics       Date:  2009-10-08       Impact factor: 3.169

9.  Extraction of elementary rate constants from global network analysis of E. coli central metabolism.

Authors:  Jiao Zhao; Douglas Ridgway; Gordon Broderick; Andriy Kovalenko; Michael Ellison
Journal:  BMC Syst Biol       Date:  2008-05-07

10.  SBMLsqueezer: a CellDesigner plug-in to generate kinetic rate equations for biochemical networks.

Authors:  Andreas Dräger; Nadine Hassis; Jochen Supper; Adrian Schröder; Andreas Zell
Journal:  BMC Syst Biol       Date:  2008-04-30
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