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New methods in computational systems...

Miller, David J.

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New methods in computational systems biology.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	New methods in computational systems biology./
Author:	Miller, David J.
Description:	147 p.
Notes:	Adviser: Avijit Ghosh.
Contained By:	Dissertation Abstracts International69-02B.
Subject:	Biology, Bioinformatics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3302233
ISBN:	9780549477846

New methods in computational systems biology.
Miller, David J.

New methods in computational systems biology. - 147 p.

Adviser: Avijit Ghosh.

Thesis (Ph.D.)--Drexel University, 2008.

Within this burgeoning field, computational modeling of cell signaling serves not only validate theoretical and experimental findings, but also to provide quantitative and even predictive analysis of biochemical networks and intracellular machinery.

ISBN: 9780549477846Subjects--Topical Terms:

1018415
Biology, Bioinformatics.

New methods in computational systems biology.
LDR:02264nam 2200301 a 45 001 940614
005 20110518
008 110518s2008 ||||||||||||||||| ||eng d
020 $a 9780549477846
035 $a (UMI)AAI3302233
035 $a AAI3302233
040 $a UMI $c UMI
100 1 $a Miller, David J. $3 1264746
245 1 0 $a New methods in computational systems biology.
300 $a 147 p.
500 $a Adviser: Avijit Ghosh.
500 $a Source: Dissertation Abstracts International, Volume: 69-02, Section: B, page: 0879.
502 $a Thesis (Ph.D.)--Drexel University, 2008.
520 $a Within this burgeoning field, computational modeling of cell signaling serves not only validate theoretical and experimental findings, but also to provide quantitative and even predictive analysis of biochemical networks and intracellular machinery.
520 $a 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 fields of biology, chemistry, physics, engineering, mathematics, computer science, informatics, and medicine, systems biology regards biological components as acting in tandem in a unified 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).
520 $a 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 effective anti-cancer drugs, as well as predicting the effects 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 call geometry.
590 $a School code: 0065.
650 4 $a Biology, Bioinformatics. $3 1018415
650 4 $a Biophysics, General. $3 1019105
690 $a 0715
690 $a 0786
710 2 $a Drexel University. $3 1018434
773 0 $t Dissertation Abstracts International $g 69-02B.
790 $a 0065
790 1 0 $a Ghosh, Avijit, $e advisor
791 $a Ph.D.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3302233