Optimization of multi-drug composition for the most efficacious action

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dc.contributor.authorBose, Chris
dc.contributor.authorBizuet, Rocky
dc.contributor.authorCaudillo, Luz
dc.contributor.authorGong, Jiafen
dc.contributor.authorJain, Rashi
dc.contributor.authorRomanko, Oleksandr
dc.contributor.authorSamarbakhsh, Abdi
dc.contributor.authorTam, Yun K.
dc.date.accessioned2010-06-02T19:53:07Z
dc.date.available2010-06-02T19:53:07Z
dc.date.copyright2008en
dc.date.issued2010-06-02T19:53:07Z
dc.description.abstractIn this report we consider a drug-design problem as it typically appears in Chinese medicine, where a large number of potentially active components are combined into one herbal therapy. The problem is posed by the SinoVeda Canada Inc. We focus on techniques for component-activity analysis in order to isolate the most active components, and the most active synergies between components as measured by tissue response to prepared herbal mixtures. The aim is to produce both qualitative and quantitative descriptions of the most active dose-fractions for a given herbal therapy and to aid in optimal design of herbal mixtures treating the target diseases. This report describes various techniques to achieve this goal, including multivariate linear regression, principle component analysis, subset selection and regularization.en
dc.identifier.urihttp://hdl.handle.net/1828/2835
dc.language.isoenen
dc.relation.ispartofseriesDMS-864-IRen
dc.subjectChinese medicineen
dc.subjectdrug-designen
dc.subjectcomponent-activity analysisen
dc.subjectoptimizationen
dc.subjectprincipal components analysis (PCA)en
dc.subjectmultivariate linear regressionen
dc.subjectsubset selectionen
dc.subjectleast absolute shrinkage and selection operator (LASSO)en
dc.titleOptimization of multi-drug composition for the most efficacious actionen
dc.typeTechnical Reporten

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