Acosta-Jimenez_2022_Molecules_27_

Reference

Title : QSTR Modeling to Find Relevant DFT Descriptors Related to the Toxicity of Carbamates - Acosta-Jimenez_2022_Molecules_27_
Author(s) : Acosta-Jimenez EH , Zarate-Hernandez LA , Camacho-Mendoza RL , Gonzalez-Montiel S , Alvarado-Rodriguez JG , Gomez-Castro CZ , Pescador-Rojas M , Meneses-Viveros A , Cruz-Borbolla J
Ref : Molecules , 27 : , 2022
Abstract :

Compounds containing carbamate moieties and their derivatives can generate serious public health threats and environmental problems due their high potential toxicity. In this study, a quantitative structure-toxicity relationship (QSTR) model has been developed by using one hundred seventy-eight carbamate derivatives whose toxicities in rats (oral administration) have been evaluated. The QSRT model was rigorously validated by using either tested or untested compounds falling within the applicability domain of the model. A structure-based evaluation by docking from a series of carbamates with acetylcholinesterase (AChE) was carried out. The toxicity of carbamates was predicted using physicochemical, structural, and quantum molecular descriptors employing a DFT approach. A statistical treatment was developed; the QSRT model showed a determination coefficient (R(2)) and a leave-one-out coefficient (Q(2)(LOO)) of 0.6584 and 0.6289, respectively.

PubMedSearch : Acosta-Jimenez_2022_Molecules_27_
PubMedID: 36080298

Related information

Citations formats

Acosta-Jimenez EH, Zarate-Hernandez LA, Camacho-Mendoza RL, Gonzalez-Montiel S, Alvarado-Rodriguez JG, Gomez-Castro CZ, Pescador-Rojas M, Meneses-Viveros A, Cruz-Borbolla J (2022)
QSTR Modeling to Find Relevant DFT Descriptors Related to the Toxicity of Carbamates
Molecules 27 :

Acosta-Jimenez EH, Zarate-Hernandez LA, Camacho-Mendoza RL, Gonzalez-Montiel S, Alvarado-Rodriguez JG, Gomez-Castro CZ, Pescador-Rojas M, Meneses-Viveros A, Cruz-Borbolla J (2022)
Molecules 27 :