Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/39435
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dc.coverage.spatialStudies on the application of Machine learning algorithms in Computational biologyen_US
dc.date.accessioned2015-04-22T06:17:22Z-
dc.date.available2015-04-22T06:17:22Z-
dc.date.issued2015-04-22-
dc.identifier.urihttp://hdl.handle.net/10603/39435-
dc.description.abstractThe 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 newlineen_US
dc.format.extentxxv, 227p.en_US
dc.languageEnglishen_US
dc.relationp197-226.en_US
dc.rightsuniversityen_US
dc.titleStudies on the application of Machine learning algorithms in Computational biologyen_US
dc.title.alternativeen_US
dc.creator.researcherAbhilash mohanen_US
dc.subject.keywordBacterial processesen_US
dc.subject.keywordMachine learning algorithmsen_US
dc.description.noteappendix p141-196, reference p197-226.en_US
dc.contributor.guideGautam Pen_US
dc.publisher.placeChennaien_US
dc.publisher.universityAnna Universityen_US
dc.publisher.institutionFaculty of Science and Humanitiesen_US
dc.date.registeredn.d,en_US
dc.date.completed01/05/2014en_US
dc.date.awarded30/05/2014en_US
dc.format.dimensions23cm.en_US
dc.format.accompanyingmaterialNoneen_US
dc.source.universityUniversityen_US
dc.type.degreePh.D.en_US
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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