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Please use this identifier to cite or link to this item: http://hdl.handle.net/1860/2810

Title: New methods in computational systems biology
Authors: Miller, David J.
Keywords: Physics;Biological systems;Drugs--Design
Issue Date: 11-Jul-2008
Abstract: Systems biology strives to reach greater understanding of biological function through an integrative, multidisciplinary approach utilizing experimentation, theory, and simulation in equal measures. Drawing from the traditionally distinct elds of biology, chemistry, physics, engineering, mathematics, computer science, informatics, and medicine, systems biology regards biological components as acting in tandem in a uni ed hierarchical system over a wide range of scales, from nano-scale (proteins and small molecules) to micro-scale (organelles and cells) to macro-scale (tissue and organs). Within this burgeoning eld, computational modeling of cell signaling serves not only to validate theoretical and experimental ndings, but also to provide quantitative and even predictive analysis of biochemical networks and intracellular machinery. In this thesis, a model of the canonical MAPK signal transduction pathway (well studied for its role in a large percentage of cancers) is analyzed using the custom simulation software package CellSim as a tool for predicting targets for e ective anti-cancer drugs, as well as predicting the e ects of such drugs on non-cancerous cells. Furthermore, computational tools and methods are developed for extending such purely kinetic models of intracellular signaling into the spatio-temporal realm, introducing locality, transport, and cell geometry.
URI: http://hdl.handle.net/1860/2810
Appears in Collections:Drexel Theses and Dissertations

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