QSAR Modeling of Acute Toxicity for Nitrobenzene Derivatives Towards Rats: Comparative Analysis by MLRA and Optimal Descriptors

2007 ◽  
Vol 26 (5) ◽  
pp. 686-693 ◽  
Author(s):  
Andrey A. Toropov ◽  
Bakhtiyor F. Rasulev ◽  
Jerzy Leszczynski
Keyword(s):  
Comparative Analysis ◽  
Acute Toxicity ◽  
Qsar Modeling

Comparative analysis of acute toxicity of amino acid-containing antiarrhythmics

1999 ◽  
Vol 127 (2) ◽  
pp. 194-196
Author(s):  
S. M. Napalkova ◽  
O. V. Artem'eva ◽  
Ya. V. Kostin ◽  
S. Ya. Skachilova ◽  
N. N. Gireva
Keyword(s):  
Comparative Analysis ◽  
Amino Acid ◽  
Acute Toxicity

QSAR modeling of acute toxicity by balance of correlations

2008 ◽  
Vol 16 (11) ◽  
pp. 5999-6008 ◽  
Author(s):  
Andrey A. Toropov ◽  
Bakhtiyor F. Rasulev ◽  
Jerzy Leszczynski
Keyword(s):  
Acute Toxicity ◽  
Qsar Modeling ◽  
Balance Of Correlations

scholarly journals QSAR Modeling Of Mammal Acute Toxicity By Oral Exposure

2018 ◽  
Vol 1 (3) ◽  
pp. e00066 ◽  
Author(s):  
O.A. Raevsky ◽  
V.Yu. Grigorev ◽  
A.V. Yarkov ◽  
O.V. Tinkov
Keyword(s):  
Standard Deviation ◽  
Acute Toxicity ◽  
Regression Models ◽  
Arithmetic Mean ◽  
Statistical Characteristics ◽  
Oral Exposure ◽  
Acute Oral Toxicity ◽  
Oral Toxicity ◽  
Qsar Modeling ◽  
Test Sets

7490 organic compounds exhibiting acute oral toxicity in mice were studied. Regression models with satisfactory statistical characteristics have been created using the original AMP (arithmetic mean property) approach. The best models using the training and test sets were characterized by the squared linear correlation coefficient and the standard deviation of 0.5 and 0.45 (in log(1/LD50) units).

QSAR modeling of acute toxicity on mammals caused by aromatic compounds: the case study using oral LD50 for rats

2010 ◽  
Vol 12 (5) ◽  
pp. 1037 ◽  
Author(s):  
Bakhtiyor Rasulev ◽  
Hrvoje Kušić ◽  
Danuta Leszczynska ◽  
Jerzy Leszczynski ◽  
Natalija Koprivanac
Keyword(s):  
Acute Toxicity ◽  
Aromatic Compounds ◽  
Qsar Modeling

scholarly journals Acute toxicity dataset for QSAR modeling and predicting missing data of six pesticides

Data in Brief ◽  
2020 ◽  
Vol 29 ◽  
pp. 105150
Author(s):  
Ya-Qian Xu ◽  
Shu-Shen Liu ◽  
Bing-Qing Lu ◽  
Ze-Jun Wang
Keyword(s):  
Missing Data ◽  
Acute Toxicity ◽  
Qsar Modeling
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