Portal de Periódicos da CAPES

QSTR Modeling to Find Relevant DFT Descriptors Related to the Toxicity of Carbamates

2022; Multidisciplinary Digital Publishing Institute; Volume: 27; Issue: 17 Linguagem: Inglês

10.3390/molecules27175530

1433-1373

Emma H. Acosta-Jiménez, Luis Ángel Zárate-Hernández, Rosa L. Camacho-Mendoza, Simplicio González‐Montiel, José G. Alvarado‐Rodríguez, Carlos Z. Gómez‐Castro, Miriam Pescador‐Rojas, Amilcar Meneses‐Viveros, Julián Cruz‐Borbolla,

Free Radicals and Antioxidants

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 (R2) and a leave-one-out coefficient (Q2LOO) of 0.6584 and 0.6289, respectively.