Atom surface fragment contribution method for predicting the toxicity of ionic liquids

In this study, a novel method-atom surface fragment contribution (ASFC)-was proposed for assessing the properties of compounds. We developed a predictive model using the ASFC method based on the sigma surface areas (S sigma-surface) of fragments/groups for estimating the toxicity of ILs. A toxicity dataset of 140 ILs towards leukemia rat cell line (ICP-81) was gathered and employed to train and validate models. The S sigma-surface values of atoms in each group were firstly calculated from the COSMO profiles of cations and anions for ILs. Then the S sigma-surface values of 26 groups were obtained and used as input descriptors for modelling. The R-2 and MSE of the built ASFC model were 0.924 and 0.071, respectively. Results indicate that the ASFC model developed by the new approach possesses great accuracy and reliability. In total, the ASFC method has extensive potential for the application of estimating diverse properties of ILs and other compounds due to its remarkable advantages.

Automated summary

A novel ASFC method was proposed for assessing the properties of compounds, with a predictive model developed based on the sigma surface areas of fragments/groups for estimating IL toxicity. The ASFC model demonstrated high accuracy and reliability, showing extensive potential for estimating properties of ILs and other compounds.