Skip to Main Content
Frequently Asked Questions
Submit an ETD
Global Search Box
Need Help?
Keyword Search
Participating Institutions
Advanced Search
School Logo
Files
File List
Thesis-XiaoshuCai.pdf (1.72 MB)
ETD Abstract Container
Abstract Header
DEVELOPMENT OF COMPUTATIONAL APPROACH FOR DRUG DISCOVERY
Author Info
Cai, Xiaoshu
ORCID® Identifier
http://orcid.org/0000-0001-6897-1389
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=case1465403528
Abstract Details
Year and Degree
2016, Master of Sciences, Case Western Reserve University, EECS - Computer and Information Sciences.
Abstract
Computational drug discovery is still in its early stage. Effective approaches are needed to understand disease mechanisms and link disease to potential drug treatments through large scale data. In this thesis, I present two data mining approaches to understand disease genetic basis for colorectal cancer (CRC) and identify candidate drug therapies for inflammatory bowel disease (IBD), respectively. In the first study, I developed a computational pipeline to systematically screen millions of genomic signature of FDA-approved drugs and IBD, and prioritize potential candidate drugs for IBD. The prediction precision improved by 67% for clinical trial drugs and 43% for off-target drugs comparing to a state-of-art approach. In the second study, I developed a supervised machine learning approach to predict CRC tumor progression using patient level genomic features. Pathway analysis and network visualization were also applied to significantly expressed cytokine genes. I demonstrated the significant role of cytokines in CRC metastasis.
Committee
Rong Xu (Advisor)
Xiang Zhang (Committee Member)
Xiaofeng Zhu (Committee Member)
Pages
44 p.
Subject Headings
Bioinformatics
;
Computer Science
Keywords
Drug repositioning
;
Machine learning
;
LINCS
;
Cytokines
Recommended Citations
Refworks
EndNote
RIS
Mendeley
Citations
Cai, X. (2016).
DEVELOPMENT OF COMPUTATIONAL APPROACH FOR DRUG DISCOVERY
[Master's thesis, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1465403528
APA Style (7th edition)
Cai, Xiaoshu.
DEVELOPMENT OF COMPUTATIONAL APPROACH FOR DRUG DISCOVERY .
2016. Case Western Reserve University, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=case1465403528.
MLA Style (8th edition)
Cai, Xiaoshu. "DEVELOPMENT OF COMPUTATIONAL APPROACH FOR DRUG DISCOVERY ." Master's thesis, Case Western Reserve University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=case1465403528
Chicago Manual of Style (17th edition)
Abstract Footer
Document number:
case1465403528
Download Count:
214
Copyright Info
© 2016, some rights reserved.
DEVELOPMENT OF COMPUTATIONAL APPROACH FOR DRUG DISCOVERY by Xiaoshu Cai is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by Case Western Reserve University School of Graduate Studies and OhioLINK.