Hybrid Docking-Nano-QSPR: An Alternative Approach for Prediction of Chemicals Adsorption on Nanoparticles

In this study, a new hybrid docking-quantitative structure-property relationship (QSPR) methodology was used to model and predict the adsorption coefficients of some small organic compounds on pristine multiwall carbon nanotube (MWCNT). In this method, descriptors are calculated from the reproduced experimental conformations by molecular docking to develop predictive QSPR models. Three MLR models with squared correlation coefficient (R-2) values of 0.93, 0.94 and 0.95 were selected. The prediction power of models was evaluated on 12-member test set, which was not used during the modeling and led to R-2 values of 0.88, 0.85 and 0.93. This methodology gives new insight into factors influenced on the adsorption of nanoparticles.