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dc.contributor.advisorStan N. Finkelstein and Anthony J. Sinskey.en_US
dc.contributor.authorSato, Hiroaki, 1962-en_US
dc.contributor.otherSloan School of Management.en_US
dc.date.accessioned2005-08-22T23:30:38Z
dc.date.available2005-08-22T23:30:38Z
dc.date.copyright2000en_US
dc.date.issued2000en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/9205
dc.descriptionThesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management, 2000.en_US
dc.descriptionAlso available online at the DSpace at MIT website.en_US
dc.descriptionIncludes bibliographical references (leaves 47-50).en_US
dc.description.abstractUndesirable pharmacokinetic properties, such as poor bioavailability and drug-drug interactions, have been one of major reasons for the failure of new pharmaceuticals in clinical trials. These dropout risks can be reduced by early knowledge of human pharmacokinetics in the drug discovery process. Although new drug candidates have been first tested in animal-based systems, the prediction of human pharmacokinetics from animal data has been unsuccessful due to species differences in the enzymes involved in drug metabolism. Recent progress in molecular biology made it possible to develop in vitro drug metabolism systems using human metabolic enzymes, such as purified microsomes or expressed cytochrome P450. These systems are useful in profiling the enzymes involved in the human metabolism and extrapolating the in vitro findings to in vivo situations. The in vitro systems may yield a rapid drug metabolism screening of numerous compounds generated through combinatorial chemistry and high-throughput pharmacological screening. The integration of these technologies into the drug development process will significantly reduce the dropout risks in clinical trials and shorten the period between the drug discovery and market introduction.en_US
dc.description.statementofresponsibilityby Hiroaki Sato.en_US
dc.format.extent60 leavesen_US
dc.format.extent5095922 bytes
dc.format.extent5095677 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectSloan School of Management.en_US
dc.titleUsing human metabolic enzyme profiling as an innovative technology in the drug development processen_US
dc.typeThesisen_US
dc.description.degreeM.B.A.en_US
dc.contributor.departmentSloan School of Management
dc.identifier.oclc45483588en_US


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