Literature DB >> 20501552

A parallel algorithm to compute chemical organizations in biological networks.

Florian Centler1, Christoph Kaleta, Pietro Speroni di Fenizio, Peter Dittrich.   

Abstract

SUMMARY: Analysing genome-scale in silico models with stoichiometry-based methods is computationally demanding. The current algorithms to compute chemical organizations in chemical reaction networks are limited to small-scale networks, prohibiting a thorough analysis of large models. Here, we introduce a parallelized version of the constructive algorithm to determine chemical organizations. The algorithm is implemented in the Standard C programming language and parallelized using the message passing interface (MPI) protocol. The resulting code can be executed on computer clusters making use of an arbitrary number of processors. The algorithm is parallelized in an embarrassing parallel manner, providing good scalability. AVAILABILITY: An implementation of the algorithm including source code can be obtained from http://www.minet.uni-jena.de/csb/prj/ot/tools

Mesh:

Year:  2010        PMID: 20501552     DOI: 10.1093/bioinformatics/btq263

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


  2 in total

1.  Cycles and the qualitative evolution of chemical systems.

Authors:  Peter Kreyssig; Gabi Escuela; Bryan Reynaert; Tomas Veloz; Bashar Ibrahim; Peter Dittrich
Journal:  PLoS One       Date:  2012-10-11       Impact factor: 3.240

2.  Effects of small particle numbers on long-term behaviour in discrete biochemical systems.

Authors:  Peter Kreyssig; Christian Wozar; Stephan Peter; Tomás Veloz; Bashar Ibrahim; Peter Dittrich
Journal:  Bioinformatics       Date:  2014-09-01       Impact factor: 6.937

  2 in total

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