Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/39435
Title: Studies on the application of Machine learning algorithms in Computational biology
Researcher: Abhilash mohan
Guide(s): Gautam P
Keywords: Bacterial processes
Machine learning algorithms
Upload Date: 22-Apr-2015
University: Anna University
Completed Date: 01/05/2014
Abstract: The primary motivation of the study was aimed at identifying newlineprospective drug targets commonly found in pathogenic bacteria and newlinedesign putative inhibitors against the targets The second phase of the newlinestudy was aimed at understanding the bacterial processes at a systemic newlinelevel using machine learning algorithms and graph theory newlineThe first objective was to find drug targets which could in newlinemultiple pathogens and the second objective was to identify chemical newlineligands which will have minimal side e ect to the host while targeting newlinethe pathogens A new algorithm was developed to mine all the known newlinemetabolic networks of forty eight pathogenic bacteria and compare the newlinenetwork profile of these pathogens to humans and identify a subset newlineof enzymes exclusive to pathogens The targets hence identified were newlinefurther refined with various selection criteria imposed to pick best the newlinetargets A final list of four enzymes common to multiple pathogens newlinewere identified as targets TolC SecA RmlB and RmlC The second newlineobjective was to design inhibitors against these targets newline newline
Pagination: xxv, 227p.
URI: http://hdl.handle.net/10603/39435
Appears in Departments:Faculty of Science and Humanities

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01_title.pdfAttached File50.96 kBAdobe PDFView/Open
02_certificate.pdf23.39 kBAdobe PDFView/Open
03_abstract.pdf98.06 kBAdobe PDFView/Open
04_acknowledgement.pdf18.88 kBAdobe PDFView/Open
05_content.pdf181.85 kBAdobe PDFView/Open
06_chapter1.pdf335.51 kBAdobe PDFView/Open
07_chapter2.pdf705.48 kBAdobe PDFView/Open
08_chapter3.pdf12.89 MBAdobe PDFView/Open
09_chapter4.pdf69.66 kBAdobe PDFView/Open
10_appendix.pdf247.88 kBAdobe PDFView/Open
11_reference.pdf245.45 kBAdobe PDFView/Open
12_publication.pdf24.19 kBAdobe PDFView/Open
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