Browsing by Author "Pilutti, P."

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Gramatica, P.; Pilutti, P.; Papa, E. Approaches for externally validated QSAR modelling of Nitrated Polycyclic Aromatic Hydrocarbon mutagenicity. SAR QSAR Environ. Res. 2007, 18, 169–178.

Published: Alfonso T. Garcia-Sosa (2015-09-25)

Abstract: Nitrated Polycyclic Aromatic Hydrocarbons (nitro-PAHs), ubiquitous environmental pollutants, are recognized mutagens and carcinogens. A set of mutagenicity data (TA100) for 48 nitro-PAHs was modeled by the Quantitative Structure-Activity Relationships (QSAR) regression method, and OECD principles for QSAR model validation were applied. The proposed Multiple ...

HumanHealth Regression
Gramatica, P.; Pilutti, P.; Papa, E. Predicting the NO3 radical tropospheric degradability of organic pollutants by theoretical molecular descriptors. Atmos. Environ. 2003, 37, 3115–3124.

Published: Geven Piir, Sulev Sild (2017-05-24)

Abstract: The rate constant for the nighttime degradation of 114 heterogeneous organic compounds, through reaction with nitrate radicals in the troposphere, is predicted here by quantitative structure–activity relationships modelling. The multiple linear regression approach is based on a variety of theoretical molecular descriptors, selected by the genetic algorithms-variable ...

EnvironFate Regression
Papa, E.; Pilutti, P.; Gramatica, P. Prediction of PAH mutagenicity in human cells by QSAR classification. SAR and QSAR in Environmental Research 2008, 19, 115–127.

Published: Geven Piir (2016-09-20)

Abstract: Polycyclic aromatic hydrocarbons (PAHs) are ubiquitous pollutants of high environmental concern. The experimental data of a mutagenicity test on human B-lymphoblastoid cells (alternative to the Ames bacterial test) for a set of 70 oxo-, nitro- and unsubstituted PAHs, detected in particulate matter (PM), were modelled by Quantitative Structure-Activity ...

HumanHealth Classification

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