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Titolo:
QSARS FOR A SERIES OF INHIBITORY ANILIDES
Autore:
ZAKARYA D; LARFAOUI EM; BOULAAMAIL A; TOLLABI M; LAKHLIFI T;
Indirizzi:
FAC SCI & TECH,BP146 CITE YASMINA MOHAMMEDIA MOROCCO FAC SCI ZITOUNE MEKNES MOROCCO UNIV MOHAMMED 5,FAC SCI RABAT MOROCCO
Titolo Testata:
Chemosphere
fascicolo: 13, volume: 36, anno: 1998,
pagine: 2809 - 2818
SICI:
0045-6535(1998)36:13<2809:QFASOI>2.0.ZU;2-P
Fonte:
ISI
Lingua:
ENG
Soggetto:
NEURAL NETWORKS; PHARMACEUTICAL PROBLEMS;
Keywords:
QSAR; ANILIDE HERBICIDES; PHOTOSYSTEM II INHIBITORY ACTIVITY; MULTIPLE LINEAR REGRESSION; NEURAL NETWORK; DESCRIPTORS CONTRIBUTION; INTERACTION MOLECULE-RECEPTOR SITE;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Citazioni:
17
Recensione:
Indirizzi per estratti:
Citazione:
D. Zakarya et al., "QSARS FOR A SERIES OF INHIBITORY ANILIDES", Chemosphere, 36(13), 1998, pp. 2809-2818

Abstract

Neural network was applied to study a series of anilide herbicides inhibiting photosystem II (PSII). The molecules were encoded by a set ofdimensional parameters. The model established using a back-propagation algorithm of neural network (r = 0.967; n = 76) was superior to thatobtained using multiple linear regression (r = 0.922; n = 76). The descriptor's contributions to the PS II inhibitory activity pI(50) Were calculated by a method which consists in analysing the statistical coefficients between observed and calculated pI(50) using neural network,when a descriptor is taken off. The results obtained were interpretedin terms of interactions molecule-receptor site. (C) 1998 Elsevier Science Ltd. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 01/04/20 alle ore 11:41:19