Cell++—simulating biochemical pathways

Motivation: With the generation of a wealth of information, detailing cellular components, their functions and interactions, there is a growing need for the development of new computational tools capable of interpreting these data within spatial and dynamic contexts. Here, we introduce Cell++, a nov...

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Veröffentlicht in:Bioinformatics 2006-12, Vol.22 (23), p.2918-2925
Hauptverfasser: Sanford, Chris, Yip, Matthew L.K., White, Carl, Parkinson, John
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Sprache:eng
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Zusammenfassung:Motivation: With the generation of a wealth of information, detailing cellular components, their functions and interactions, there is a growing need for the development of new computational tools capable of interpreting these data within spatial and dynamic contexts. Here, we introduce Cell++, a novel stochastic simulation environment with the capacity to study a wide variety of biochemical processes within a spatial context. Results: Focusing on three case studies, we highlight the potential impact of spatial organization in the evolution and engineering of signaling and metabolic pathways. In addition to altering signaling and metabolic efficiency, simulations also demonstrated features consistent with the phenomenon of metabolic channeling. Availability: Cell++ is licensed under the GNU general public license (GPL) and has been successfully implemented under Linux and IRIX operating systems. Source code together with a simple tutorial is available at . Contact:jparkin@sickkids.ca Supplementary information: Supplementary data for this paper are available at Bioinformatics online.
ISSN:1367-4803
1460-2059
1367-4811
DOI:10.1093/bioinformatics/btl497