Multiple Linear Regression Analysis and Optimal Descriptors: Predicting the Cholesteryl Ester Transfer Protein Inhibition Activity

CORAL: QSPR models for solubility of [C60] and [C70] fullerene derivatives

Quantitative structure-property relationships (QSPRs) between the molecular structure of [C(60)] and [C(70)] fullerene derivatives and their solubility in chlorobenzene (mg/mL) have been established by means of CORAL (CORrelations And Logic) freeware. The CORAL models are based on representation of the molecular structure by simplified molecular input line entry system (SMILES). Three random splits into the training and the external validation sets have been examined. The ranges of statistical characteristics of these models are as follows: n = 18, r (2) = 0.748-0.815, s = 15.1 -17.5 (mg/mL), F = 47-71 (training set); n = 9, r (2) = 0.806-0.936, s = 12.5-17.5 (mg/mL), F = 29-103 (validation set).

QSPR modeling of enthalpies of formation for organometallic compounds by SMART-based optimal descriptors

A quantitative structure-property relationship (QSPR) model for the prediction of gas-phase enthalpy of formation has been developed, using as chemical information descriptors based on the SMART notation, which is an alternative to SMILES. The model is one-variable equation. The SMART-based descriptors are calculated with correlation weights of SMART attributes which are obtained by the Monte Carlo method. The model addressed organometallic compounds. Statistical characteristics of the model are the following: n = 104, r2 = 0.9944, s = 19.6 (kJ/mol), F = 18,269 (training set) and n = 28, r2 = 0.9909, s = 28.8 (kJ/mol), F = 2832 (test set).