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SAR QSAR Environ Res




2015
    Qualitative and quantitative structure-activity relationship modelling for predicting blood-brain barrier permeability of structurally diverse chemicals 

2012
    The use of Bayesian nonlinear regression techniques for the modelling of the retention behaviour of volatile components of Artemisia species 

2011
    An integrated QSAR-PBPK modelling approach for predicting the inhalation toxicokinetics of mixtures of volatile organic chemicals in the rat 
    QSARs for PBPK modelling of environmental contaminants 

2008
    An integrated QSPR-PBPK modelling approach for in vitro-in vivo extrapolation of pharmacokinetics in rats 
    Externally validated QSPR modelling of VOC tropospheric oxidation by NO3 radicals 

2007
    A general structure-property relationship to predict the enthalpy of vaporisation at ambient temperatures 
    Fruit Tree model for uptake of organic compounds from soil and air 
    "Toxicity study of allelochemical-like pesticides by a combination of 3D-QSAR, docking, Local Binding Energy (LBE) and GRID approaches" 

2005
    QSPR analysis of the partitioning of vaporous chemicals in a water-gas phase system and the water solubility of liquid and solid chemicals on the basis of fragment and physicochemical similarity and hybot descriptors 

2004
    Implementation of depth-dependent soil concentrations in multimedia mass balance models 

2002
    Prediction of tissue-air partition coefficients: a comparison of structure-based and property-based methods 
    Variable selection for QSAR by artificial ant colony systems 
    Ranking of volatile organic compounds for tropospheric degradability by oxidants: a QSPR approach 
    Implication of SAR of male medfly attractants in insect olfaction 

2001
    Quantitative structure-property relationships generated with optimizable even/odd Wiener polynomial descriptors 

1995
    Nonlinear Multivariate SAR of Lepidoptera Pheromones 

 
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Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 25-12-2024