A Structure-Activity Relationship (SAR) Study of Neolignan Compounds with Anti-schistosomiasis Activity

A set of eighteen neolignan derivative compounds with anti-schistosomiasis activity was studied by using the quantum mechanical semi-empirical method PM3 and other theoretical methods in order to calculate selected molecular properties (variables or descriptors) to be correlated to their biological activities. Exploratory data analysis (principal component analysis, PCA, and hierarchical cluster analysis, HCA), discriminant analysis (DA) and the Kth nearest neighbor (KNN) method were employed for obtaining possible relationships between the calculated descriptors and the biological activities studied and predicting the anti-schistosomiasis activity of new compounds from a test set. The molecular descriptors responsible for the separation between active and inactive compounds were: hydration energy (HE), molecular refractivity (MR) and charge on the C19 carbon atom (Q19). These descriptors give information on the kind of interaction that can occur between the compounds and their respective biological receptor. The prediction study was done with a new set of ten derivative compounds by using the PCA, HCA, DA and KNN methods and only five of them were predicted as active against schistosomiasis.

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Main Authors: Alves,Claúdio N., Macedo,Luiz G. M. de, Honório,Káthia M., Camargo,Ademir J., Santos,Lourival S., Jardim,Iselino N., Barata,Lauro E. S., Silva,Albérico B. F. da
Format: Digital revista
Language:English
Published: Sociedade Brasileira de Química 2002
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532002000300003
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spelling oai:scielo:S0103-505320020003000032002-07-04A Structure-Activity Relationship (SAR) Study of Neolignan Compounds with Anti-schistosomiasis ActivityAlves,Claúdio N.Macedo,Luiz G. M. deHonório,Káthia M.Camargo,Ademir J.Santos,Lourival S.Jardim,Iselino N.Barata,Lauro E. S.Silva,Albérico B. F. da PM3 neolignans anti-schistosomiasis principal component analysis hierarchical cluster analysis discriminant analysis Kth nearest neighbor A set of eighteen neolignan derivative compounds with anti-schistosomiasis activity was studied by using the quantum mechanical semi-empirical method PM3 and other theoretical methods in order to calculate selected molecular properties (variables or descriptors) to be correlated to their biological activities. Exploratory data analysis (principal component analysis, PCA, and hierarchical cluster analysis, HCA), discriminant analysis (DA) and the Kth nearest neighbor (KNN) method were employed for obtaining possible relationships between the calculated descriptors and the biological activities studied and predicting the anti-schistosomiasis activity of new compounds from a test set. The molecular descriptors responsible for the separation between active and inactive compounds were: hydration energy (HE), molecular refractivity (MR) and charge on the C19 carbon atom (Q19). These descriptors give information on the kind of interaction that can occur between the compounds and their respective biological receptor. The prediction study was done with a new set of ten derivative compounds by using the PCA, HCA, DA and KNN methods and only five of them were predicted as active against schistosomiasis.info:eu-repo/semantics/openAccessSociedade Brasileira de QuímicaJournal of the Brazilian Chemical Society v.13 n.3 20022002-06-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532002000300003en10.1590/S0103-50532002000300003
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author Alves,Claúdio N.
Macedo,Luiz G. M. de
Honório,Káthia M.
Camargo,Ademir J.
Santos,Lourival S.
Jardim,Iselino N.
Barata,Lauro E. S.
Silva,Albérico B. F. da
spellingShingle Alves,Claúdio N.
Macedo,Luiz G. M. de
Honório,Káthia M.
Camargo,Ademir J.
Santos,Lourival S.
Jardim,Iselino N.
Barata,Lauro E. S.
Silva,Albérico B. F. da
A Structure-Activity Relationship (SAR) Study of Neolignan Compounds with Anti-schistosomiasis Activity
author_facet Alves,Claúdio N.
Macedo,Luiz G. M. de
Honório,Káthia M.
Camargo,Ademir J.
Santos,Lourival S.
Jardim,Iselino N.
Barata,Lauro E. S.
Silva,Albérico B. F. da
author_sort Alves,Claúdio N.
title A Structure-Activity Relationship (SAR) Study of Neolignan Compounds with Anti-schistosomiasis Activity
title_short A Structure-Activity Relationship (SAR) Study of Neolignan Compounds with Anti-schistosomiasis Activity
title_full A Structure-Activity Relationship (SAR) Study of Neolignan Compounds with Anti-schistosomiasis Activity
title_fullStr A Structure-Activity Relationship (SAR) Study of Neolignan Compounds with Anti-schistosomiasis Activity
title_full_unstemmed A Structure-Activity Relationship (SAR) Study of Neolignan Compounds with Anti-schistosomiasis Activity
title_sort structure-activity relationship (sar) study of neolignan compounds with anti-schistosomiasis activity
description A set of eighteen neolignan derivative compounds with anti-schistosomiasis activity was studied by using the quantum mechanical semi-empirical method PM3 and other theoretical methods in order to calculate selected molecular properties (variables or descriptors) to be correlated to their biological activities. Exploratory data analysis (principal component analysis, PCA, and hierarchical cluster analysis, HCA), discriminant analysis (DA) and the Kth nearest neighbor (KNN) method were employed for obtaining possible relationships between the calculated descriptors and the biological activities studied and predicting the anti-schistosomiasis activity of new compounds from a test set. The molecular descriptors responsible for the separation between active and inactive compounds were: hydration energy (HE), molecular refractivity (MR) and charge on the C19 carbon atom (Q19). These descriptors give information on the kind of interaction that can occur between the compounds and their respective biological receptor. The prediction study was done with a new set of ten derivative compounds by using the PCA, HCA, DA and KNN methods and only five of them were predicted as active against schistosomiasis.
publisher Sociedade Brasileira de Química
publishDate 2002
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532002000300003
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