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Pregled bibliografske jedinice broj: 463501

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


Rasulev, Bakhtiyor; Kušić, Hrvoje; Lesczynska, Danuta; Leszczynski, Jerzy; Koprivanac, Natalija
QSAR modeling of acute toxicity on mammals caused by aromatic compounds: the case study using oral LD50 for rats // Journal of environmental monitoring, 12 (2010), 1037-1044 (međunarodna recenzija, članak, znanstveni)


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

Autori
Rasulev, Bakhtiyor ; Kušić, Hrvoje ; Lesczynska, Danuta ; Leszczynski, Jerzy ; Koprivanac, Natalija

Izvornik
Journal of environmental monitoring (1464-0325) 12 (2010); 1037-1044

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Organic pollutants; toxicity; aromatics; QSAR; modeling

Sažetak
The goal of the study was to predict toxicity in vivo caused by aromatic compounds structured with a single benzene ring and the presence or absence of different substituent groups such as hydroxyl-, nitro-, amino-, methyl-, methoxy-, etc., by using QSAR/QSPR tools. A Genetic Algorithm and multiple regression analysis were applied to select the descriptors and to generate the correlation models. The most predictive model is shown to be the 3-variable model which also has a good ratio of the number of descriptors and their predictive ability to avoid overfitting. The main contributions to the toxicity were shown to be the polarizability weighted MATS2p and the number of certain groups C-026 descriptors. The GA-MLRA approach showed good results in this study, which allows the building of a simple, interpretable and transparent model that can be used for future studies of predicting toxicity of organic compounds to mammals.

Izvorni jezik
Engleski

Znanstvena područja
Kemijsko inženjerstvo



POVEZANOST RADA


Projekt / tema
125-1253092-1981 - Obrada otpadnih voda naprednim oksidacijskim tehnologijama (Sanja Papić, )

Ustanove
Fakultet kemijskog inženjerstva i tehnologije, Zagreb

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE