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DEVELOPMENT OF COMPUTATIONAL APPROACH FOR DRUG DISCOVERY

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2016, Master of Sciences, Case Western Reserve University, EECS - Computer and Information Sciences.
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.
Rong Xu (Advisor)
Xiang Zhang (Committee Member)
Xiaofeng Zhu (Committee Member)
44 p.

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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)