Literature DB >> 15358616

Simulation tools for biochemical networks: evaluation of performance and usability.

Antti Pettinen1, Tommi Aho, Olli-Pekka Smolander, Tiina Manninen, Antti Saarinen, Kaisa-Leena Taattola, Olli Yli-Harja, Marja-Leena Linne.   

Abstract

MOTIVATION: Simulation of dynamic biochemical systems is receiving considerable attention due to increasing availability of experimental data of complex cellular functions. Numerous simulation tools have been developed for numerical simulation of the behavior of a system described in mathematical form. However, there exist only a few evaluation studies of these tools. Knowledge of the properties and capabilities of the simulation tools would help bioscientists in building models based on experimental data.
RESULTS: We examine selected simulation tools that are intended for the simulation of biochemical systems. We choose four of them for more detailed study and perform time series simulations using a specific pathway describing the concentration of the active form of protein kinase C. We conclude that the simulation results are convergent between the chosen simulation tools. However, the tools differ in their usability, support for data transfer to other programs and support for automatic parameter estimation. From the experimentalists' point of view, all these are properties that need to be emphasized in the future.

Mesh:

Substances:

Year:  2004        PMID: 15358616     DOI: 10.1093/bioinformatics/bti018

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


  9 in total

Review 1.  Computational modelling of the receptor-tyrosine-kinase-activated MAPK pathway.

Authors:  Richard J Orton; Oliver E Sturm; Vladislav Vyshemirsky; Muffy Calder; David R Gilbert; Walter Kolch
Journal:  Biochem J       Date:  2005-12-01       Impact factor: 3.857

2.  Web-based applications for building, managing and analysing kinetic models of biological systems.

Authors:  Dong-Yup Lee; Rajib Saha; Faraaz Noor Khan Yusufi; Wonjun Park; Iftekhar A Karimi
Journal:  Brief Bioinform       Date:  2008-09-19       Impact factor: 11.622

3.  Postsynaptic signal transduction models for long-term potentiation and depression.

Authors:  Tiina Manninen; Katri Hituri; Jeanette Hellgren Kotaleski; Kim T Blackwell; Marja-Leena Linne
Journal:  Front Comput Neurosci       Date:  2010-12-13       Impact factor: 2.380

4.  Modeling biochemical transformation processes and information processing with Narrator.

Authors:  Johannes J Mandel; Hendrik Fuss; Niall M Palfreyman; Werner Dubitzky
Journal:  BMC Bioinformatics       Date:  2007-03-27       Impact factor: 3.169

5.  Visual setup of logical models of signaling and regulatory networks with ProMoT.

Authors:  Julio Saez-Rodriguez; Sebastian Mirschel; Rebecca Hemenway; Steffen Klamt; Ernst Dieter Gilles; Martin Ginkel
Journal:  BMC Bioinformatics       Date:  2006-11-17       Impact factor: 3.169

6.  Simulation of microarray data with realistic characteristics.

Authors:  Matti Nykter; Tommi Aho; Miika Ahdesmäki; Pekka Ruusuvuori; Antti Lehmussola; Olli Yli-Harja
Journal:  BMC Bioinformatics       Date:  2006-07-18       Impact factor: 3.169

7.  Reproducibility and Comparability of Computational Models for Astrocyte Calcium Excitability.

Authors:  Tiina Manninen; Riikka Havela; Marja-Leena Linne
Journal:  Front Neuroinform       Date:  2017-02-21       Impact factor: 4.081

8.  RMBNToolbox: random models for biochemical networks.

Authors:  Tommi Aho; Olli-Pekka Smolander; Jari Niemi; Olli Yli-Harja
Journal:  BMC Syst Biol       Date:  2007-05-24

9.  Challenges in Reproducibility, Replicability, and Comparability of Computational Models and Tools for Neuronal and Glial Networks, Cells, and Subcellular Structures.

Authors:  Tiina Manninen; Jugoslava Aćimović; Riikka Havela; Heidi Teppola; Marja-Leena Linne
Journal:  Front Neuroinform       Date:  2018-05-01       Impact factor: 4.081

  9 in total

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