In Silico Methods for the Analysis of Metabolites and Drug Molecules

10.1002/9780470892107.ch17

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Main Authors: Khanna, V., Ranganathan, S.
Other Authors: BIOCHEMISTRY
Format: Others
Published: 2014
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Online Access:http://scholarbank.nus.edu.sg/handle/10635/108636
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-1086362024-11-09T05:20:52Z In Silico Methods for the Analysis of Metabolites and Drug Molecules Khanna, V. Ranganathan, S. BIOCHEMISTRY Binary classification algorithms, decision trees supporting vector machines - distinguishing between DL and non-DL molecules Metabolites and drug molecule - In Silico methods of analysis Small molecule databases, characterizing novel natural or synthetic compounds - predicting their biological properties, to cut down biological assays and minimizing toxicity 10.1002/9780470892107.ch17 Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications 361-381 2014-11-25T09:48:30Z 2014-11-25T09:48:30Z 2010-12-23 Others Khanna, V.,Ranganathan, S. (2010-12-23). In Silico Methods for the Analysis of Metabolites and Drug Molecules. Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications : 361-381. ScholarBank@NUS Repository. <a href="https://doi.org/10.1002/9780470892107.ch17" target="_blank">https://doi.org/10.1002/9780470892107.ch17</a> 9780470505199 http://scholarbank.nus.edu.sg/handle/10635/108636 NOT_IN_WOS Scopus
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic Binary classification algorithms, decision trees supporting vector machines - distinguishing between DL and non-DL molecules
Metabolites and drug molecule - In Silico methods of analysis
Small molecule databases, characterizing novel natural or synthetic compounds - predicting their biological properties, to cut down biological assays and minimizing toxicity
spellingShingle Binary classification algorithms, decision trees supporting vector machines - distinguishing between DL and non-DL molecules
Metabolites and drug molecule - In Silico methods of analysis
Small molecule databases, characterizing novel natural or synthetic compounds - predicting their biological properties, to cut down biological assays and minimizing toxicity
Khanna, V.
Ranganathan, S.
In Silico Methods for the Analysis of Metabolites and Drug Molecules
description 10.1002/9780470892107.ch17
author2 BIOCHEMISTRY
author_facet BIOCHEMISTRY
Khanna, V.
Ranganathan, S.
format Others
author Khanna, V.
Ranganathan, S.
author_sort Khanna, V.
title In Silico Methods for the Analysis of Metabolites and Drug Molecules
title_short In Silico Methods for the Analysis of Metabolites and Drug Molecules
title_full In Silico Methods for the Analysis of Metabolites and Drug Molecules
title_fullStr In Silico Methods for the Analysis of Metabolites and Drug Molecules
title_full_unstemmed In Silico Methods for the Analysis of Metabolites and Drug Molecules
title_sort in silico methods for the analysis of metabolites and drug molecules
publishDate 2014
url http://scholarbank.nus.edu.sg/handle/10635/108636
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