A Computer Modelling Approach for Prediction of Enantioselectivity of Active Ingredients of Ginkgo biloba Against Alzheimer s Disease and Their Estimation in Herbal Formulation

dc.contributor.guideSharma, Sangita
dc.coverage.spatialChemistry
dc.creator.researcherSwami, Ashishkumar Harshadbhai
dc.date.accessioned2025-11-13T11:18:27Z
dc.date.available2025-11-13T11:18:27Z
dc.date.awarded2020
dc.date.completed2020
dc.date.registered
dc.description.abstractnewline
dc.description.note
dc.format.accompanyingmaterialDVD
dc.format.dimensions
dc.format.extent480p.
dc.identifier.researcherid
dc.identifier.urihttp://hdl.handle.net/10603/673552
dc.languageEnglish
dc.publisher.institutionDepartment of Chemistry
dc.publisher.placePatan
dc.publisher.universityHemchandracharya North Gujarat University
dc.relation328p.
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordChemistry
dc.subject.keywordChemistry Organic
dc.subject.keywordPhysical Sciences
dc.titleA Computer Modelling Approach for Prediction of Enantioselectivity of Active Ingredients of Ginkgo biloba Against Alzheimer s Disease and Their Estimation in Herbal Formulation
dc.title.alternative
dc.type.degreePh.D.

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