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Carcinogenicity modelling of diverse chemicals based on substructure grouping and support vector machines (CROSBI ID 559419)

Prilog sa skupa u časopisu | izvorni znanstveni rad | međunarodna recenzija

Tanabe, Kazutoshi ; Lučić, Bono ; Amić, Dragan ; Suzuki, Takahiro Carcinogenicity modelling of diverse chemicals based on substructure grouping and support vector machines // Journal of pharmacy and pharmacology / Jones, D (ur.). 2009. str. A65-A66

Podaci o odgovornosti

Tanabe, Kazutoshi ; Lučić, Bono ; Amić, Dragan ; Suzuki, Takahiro

engleski

Carcinogenicity modelling of diverse chemicals based on substructure grouping and support vector machines

The prediction of carcinogenicity has become a subject of great significance for regulatory perspectives and ecotoxicity assessments. Several quantitative structure–activity relationship (QSAR) systems for predicting carcinogenicity were submitted to the Predictive Toxicology Challenge 2000–2001 Workshop ; however, the exercise revealed that performances of all proposed models were not sufficient in predicting carcinogenicities of test chemicals. In this study, an attempt was performed to construct a reliable QSAR model for predicting carcinogenicity of non- congeneric chemicals with a satisfactory performance. The support vector machines (SVM) approach was applied to develop QSAR models.

carcinogenicity ; QSAR ; support vector machines (SVM)

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Podaci o prilogu

A65-A66.

2009.

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objavljeno

Podaci o matičnoj publikaciji

Journal of pharmacy and pharmacology

Jones, D

London : Delhi: John Wiley & Sons

0022-3573

Podaci o skupu

The British Pharmaceutical Conference 2009

poster

06.09.2009-09.09.2009

Manchester, Ujedinjeno Kraljevstvo

Povezanost rada

Kemija

Indeksiranost