EVALUATION OF THE MODEL PREDICTION TOXICITY (LD50) FOR SERIES OF 42 ORGANOPHOSPHORUS PESTICIDES

EVALUATION OF THE MODEL PREDICTION TOXICITY (LD50) FOR SERIES OF 42 ORGANOPHOSPHORUS PESTICIDES

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Structure-Toxicity Relationships have been studied for a set of 42 organophosphorous pesticides (OPs) through multiple linear regression (MLR) and artificial neural networks (ANN). A model with three descriptors, including: total lipophilicity [log (P)], widths radicals R1 [(LR1)] and R2 [(LR2)] ha...

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Bibliographic Details
Main Authors: HANANE FIKRI, TAOUFIQ FECHTALI, MOHAMED MAMOUMI
Format: Article
Language:English
Published: Alma Mater Publishing House "Vasile Alecsandri" University of Bacau 2019-03-01
Series:Journal of Engineering Studies and Research
Subjects:
multiple linear regression (MLR)
artificial neural networks (ANN)
organophosphorous pesticides (OPS)
LD50
descriptors
Online Access:https://www.jesr.ub.ro/1/article/view/39

Internet

https://www.jesr.ub.ro/1/article/view/39

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