Development of QSAR models for predicting biological activity of chemical compounds from natural product and its application in database mining /

Thesis (Sarjana Sains (Kimia)) - Universiti Teknologi Malaysia, 2005

Bibliographic Details
Main Authors: 426283 Neni Frimayanti, Mohamed Noor Hasan, Fakulti Sains
Format:
Language:eng
Published: Skudai : Universiti Teknologi Malaysia, 2005
Subjects:
Online Access:http://www.psz.utm.my/sla/billing/login.asp?mid=38898
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author 426283 Neni Frimayanti
Mohamed Noor Hasan
Fakulti Sains
author_facet 426283 Neni Frimayanti
Mohamed Noor Hasan
Fakulti Sains
author_sort 426283 Neni Frimayanti
collection OCEAN
description Thesis (Sarjana Sains (Kimia)) - Universiti Teknologi Malaysia, 2005
first_indexed 2024-03-05T06:12:42Z
format
id KOHA-OAI-TEST:354378
institution Universiti Teknologi Malaysia - OCEAN
language eng
last_indexed 2024-03-05T06:12:42Z
publishDate 2005
publisher Skudai : Universiti Teknologi Malaysia,
record_format dspace
spelling KOHA-OAI-TEST:3543782020-12-19T17:12:17ZDevelopment of QSAR models for predicting biological activity of chemical compounds from natural product and its application in database mining / 426283 Neni Frimayanti Mohamed Noor Hasan Fakulti Sains Skudai : Universiti Teknologi Malaysia,2005engThesis (Sarjana Sains (Kimia)) - Universiti Teknologi Malaysia, 2005Negative microfilm : MFL 14140 raIncludes bibliographical references4250FSLStructure-Activity Relationshiphttp://www.psz.utm.my/sla/billing/login.asp?mid=38898
spellingShingle Structure-Activity Relationship
426283 Neni Frimayanti
Mohamed Noor Hasan
Fakulti Sains
Development of QSAR models for predicting biological activity of chemical compounds from natural product and its application in database mining /
title Development of QSAR models for predicting biological activity of chemical compounds from natural product and its application in database mining /
title_full Development of QSAR models for predicting biological activity of chemical compounds from natural product and its application in database mining /
title_fullStr Development of QSAR models for predicting biological activity of chemical compounds from natural product and its application in database mining /
title_full_unstemmed Development of QSAR models for predicting biological activity of chemical compounds from natural product and its application in database mining /
title_short Development of QSAR models for predicting biological activity of chemical compounds from natural product and its application in database mining /
title_sort development of qsar models for predicting biological activity of chemical compounds from natural product and its application in database mining
topic Structure-Activity Relationship
url http://www.psz.utm.my/sla/billing/login.asp?mid=38898
work_keys_str_mv AT 426283nenifrimayanti developmentofqsarmodelsforpredictingbiologicalactivityofchemicalcompoundsfromnaturalproductanditsapplicationindatabasemining
AT mohamednoorhasan developmentofqsarmodelsforpredictingbiologicalactivityofchemicalcompoundsfromnaturalproductanditsapplicationindatabasemining
AT fakultisains developmentofqsarmodelsforpredictingbiologicalactivityofchemicalcompoundsfromnaturalproductanditsapplicationindatabasemining