Development of QSAR models for predicting anti-inflammatory activity of chemical compounds from natural products

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Main Author: Ibrahim , Zalikha
Format: Thesis
Published: 2010
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id my-utm-ep.16365
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spelling my-utm-ep.163652011-10-24T08:40:12Z Development of QSAR models for predicting anti-inflammatory activity of chemical compounds from natural products 2010-00 Ibrahim , Zalikha Q Science (General) 2010-00 Thesis http://eprints.utm.my/id/eprint/16365/ masters Universiti Teknologi Malaysia, Faculty of Science Faculty of Science
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
topic Q Science (General)
spellingShingle Q Science (General)
Ibrahim , Zalikha
Development of QSAR models for predicting anti-inflammatory activity of chemical compounds from natural products
description
format Thesis
qualification_level Master's degree
author Ibrahim , Zalikha
author_facet Ibrahim , Zalikha
author_sort Ibrahim , Zalikha
title Development of QSAR models for predicting anti-inflammatory activity of chemical compounds from natural products
title_short Development of QSAR models for predicting anti-inflammatory activity of chemical compounds from natural products
title_full Development of QSAR models for predicting anti-inflammatory activity of chemical compounds from natural products
title_fullStr Development of QSAR models for predicting anti-inflammatory activity of chemical compounds from natural products
title_full_unstemmed Development of QSAR models for predicting anti-inflammatory activity of chemical compounds from natural products
title_sort development of qsar models for predicting anti-inflammatory activity of chemical compounds from natural products
granting_institution Universiti Teknologi Malaysia, Faculty of Science
granting_department Faculty of Science
publishDate 2010
_version_ 1747815025944297472