A simple approach for assessment of toxicity of nitroaromatic compounds without using complex descriptors and computer codes

In vivo toxicity of nitroaromatics: A comprehensive quantitative structure-activity relationship study

(2017) Aminah Gooch et al.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY

A Historical Excursus on the Statistical Validation Parameters for QSAR Models: A Clarification Concerning Metrics and Terminology

(2016) Paola Gramatica et al.   Journal of Chemical Information and Modeling

Sensitivity and Performance of Energetic Materials

(2016) Svatopluk Zeman et al.   PROPELLANTS EXPLOSIVES PYROTECHNICS

A new approach for accurate prediction of toxicity of amino compounds

(2014) Hamid Reza Pouretedal et al.   Journal of the Iranian Chemical Society

Evaluation of joint toxicity of nitroaromatic compounds and copper to Photobacterium phosphoreum and QSAR analysis

(2012) Limin Su et al.   JOURNAL OF HAZARDOUS MATERIALS

Accurate prediction of the toxicity of benzoic acid compounds in mice via oral without using any computer codes

(2012) Mohammad Hossein Keshavarz et al.   JOURNAL OF HAZARDOUS MATERIALS

Prediction of toxicity of nitroaromatic compounds through their molecular structures

(2012) H. R. Pouretedal et al.   Journal of the Iranian Chemical Society

Advances in computational methods to predict the biological activity of compounds

(2010) Chanin Nantasenamat et al.   Expert Opinion on Drug Discovery

The effects of characteristics of substituents on toxicity of the nitroaromatics: HiT QSAR study

(2008) Victor E. Kuz’min et al.   JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN

Prediction of toxicity of nitrobenzenes using ab initio and least squares support vector machines

(2007) Ali Niazi et al.   JOURNAL OF HAZARDOUS MATERIALS