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Using protein interactome networks t...

Das, Jishnu.

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Using protein interactome networks to understand human disease and evolution.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Using protein interactome networks to understand human disease and evolution./
作者:	Das, Jishnu.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2016,
面頁冊數:	322 p.
附註:	Source: Dissertation Abstracts International, Volume: 78-02(E), Section: B.
Contained By:	Dissertation Abstracts International78-02B(E).
標題:	Bioinformatics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10171391
ISBN:	9781369254280

Using protein interactome networks to understand human disease and evolution.
Das, Jishnu.

Using protein interactome networks to understand human disease and evolution. - Ann Arbor : ProQuest Dissertations & Theses, 2016 - 322 p.

Source: Dissertation Abstracts International, Volume: 78-02(E), Section: B.

Thesis (Ph.D.)--Cornell University, 2016.

Proteins are macromolecules that perform many key biological functions in living organisms. However, despite their functional complexity, they do not act in isolation but are part of a large underlying cellular network -- the protein interactome. In my thesis, I focus on ways in which the structure, topology and properties of this interactome network can be leveraged to better understand mechanisms of human disease and evolution at a molecular level. This work can be broken down into 3 broad categories -- (1) in chapters 2-4, I focus on combining protein structure with interactome networks to better understand disease mechanisms via loss or gain of specific functions; (2) in chapters 5 and 6, I use gene expression data in conjunction with networks to study interaction dynamics and how this is useful in predicting cancer outcome; (3) in chapters 7 and 8, I examine global principles of protein network evolution from yeasts to human. At the beginning of each chapter, I have outlined both my role and the role of my colleagues in conducting the research described in the chapter.

ISBN: 9781369254280Subjects--Topical Terms:

553671
Bioinformatics.

Using protein interactome networks to understand human disease and evolution.
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