A Distributed Computational Architecture for Integrating Multiple Biomolecular Pathways
Name
CSB001.pdf
Size
139.72 KB
Format
Adobe PDF
Checksum (MD5)
9aabd62a03835430ac3347f3db4ea7ed
Author(s)
Ayyadurai, Shiva
Dewey, C. Forbes
Date Issued
January 2007
Series/Report no.
Computation and Systems Biology (CSB)
Abstract
Biomolecular pathways are building blocks of cellular biochemical function. Computational biology is in rapid transition from diagrammatic representation of pathways to quantitative and predictive mathematical models, which span time-scales, knowledge domains and spatial-scales. This transition is being accelerated by high-throughput experimentation which isolates reactions and their corresponding rate constants. A grand challenge of systems biology is to model the whole cell by integrating these emerging quantitative biomolecular pathway models. Current integration approaches do not scale. A new parallel and distributed computational architecture, CytoSolve, directly addresses this scalability issue. Results are presented in the solution of a concrete biological model: the Epidermal Growth Factor Receptor (EGFR) pathway model published by Kholodenko. The EGFR pathway is selected since known solutions exist for this problem, enabling direct confirmation of the CytoSolve approach. Results from this effort demonstrate that CytoSolve provides a core platform for addressing a grand challenge of systems biology to model the whole cell by integrating multiple biomolecular pathway models.
Subjects
Systems Biology
Computational Models
Signaling Networks
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