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Escalating model sizes and complexities call for standardized forms of representation

Hucka, Michael and Finney, Andrew (2005) Escalating model sizes and complexities call for standardized forms of representation. Molecular Systems Biology, 1 . Art. No. 2005.0011 . ISSN 1744-4292. http://resolver.caltech.edu/CaltechAUTHORS:20121026-182306063

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Abstract

The recent work of Kitano et al on a comprehensive EGFR Pathway Map (Mol Systems Biol, this issue) represents a tremendous amount of intellectual effort. The scale of the model is breathtaking. No doubt some readers will assail the effort on the grounds that models of this size and complexity are difficult to verify, but while this may be true for today’s methods, it is an unhelpful criticism. The inescapable reality in systems biology is that models (that is to say, hypotheses cast in a computational form) will continue to grow in size, complexity, and scope. Rather than grouse, we should be thinking about how to developways of analyzing and verifying models of this scale. We also need to improve our methods of sharing and understanding each other’s work in order to facilitate the iterative processes of review and refinement that are fundamental to modeling.


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http://dx.doi.org/10.1038/msb4100015DOIUNSPECIFIED
http://www.nature.com/msb/journal/v1/n1/full/msb4100015.htmlPublisherUNSPECIFIED
Additional Information:© 2005 EMBO and Nature Publishing Group. Published online: 25 May 2005.
Record Number:CaltechAUTHORS:20121026-182306063
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20121026-182306063
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:35133
Collection:CaltechAUTHORS
Deposited By: Linda Taddeo
Deposited On:29 Oct 2012 15:48
Last Modified:29 Oct 2012 15:48

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