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New methods in computational systems...

Miller, David J.

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New methods in computational systems biology.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	New methods in computational systems biology./
作者:	Miller, David J.
面頁冊數:	147 p.
附註:	Adviser: Avijit Ghosh.
Contained By:	Dissertation Abstracts International69-02B.
標題:	Biology, Bioinformatics. -
電子資源:	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.
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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.
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