Activity Of Fullerene Derivatives Research Articles

New Plant Growth Stimulants Based on Water-Soluble Nanoparticles of N-Substituted Monoamino-Acid Derivatives of Fullerene C60 and the Study of their Mechanisms of Action

Growth-stimulating effects of water-soluble nanoparticles of N-substituted monoamino-acid derivatives of fullerene C60 (L- and D-alanine, L- and D-valine, L- and D-aspartic acid, β-alanine, and γ-aminobutyric and e-aminocaproic acids in potassium salt form) were investigated. It was found that the nanoparticle size and relative antiradical activity of fullerene derivatives were factors that influence such physiological parameters of field peas as seed germination rate, germination energy, and root growth capacity. It was shown that the relative antiradical activity of nanoparticles in the selected group of compounds was determined by the total surface area of the nanoparticles regardless of the structure of the amino-acid substituent. The possibility of using amino-acid derivatives of fullerene as effective growth stimulating substances has been demonstrated. A dose-dependent effect of N-(monohydrofullerenyl)-D-alanine potassium salt in a concentration range of 10–9–10–11 M on the seed-germination rate and germination energy of field peas has been demonstrated.

Prediction of Superoxide Quenching Activity of Fullerene (C60) Derivatives by Genetic Algorithm-Support Vector Machine

In this study, the quantitative structure–activity relationship (QSAR) models for the superoxide quenching activity of fullerene derivatives were developed. The dataset was divided into a training set and test set, based on hierarchical clustering technique. Three variables were selected by the genetic algorithm (GA) variable subset selection procedure. Multiple linear regressions (MLR) and support vector machine (SVM) were used as linear and nonlinear methods. Both the linear and nonlinear models could give very satisfactory prediction results: The square correlation coefficient of R2 for the training and test sets were 0.826 and 0.981, by MLR and 0.957 and 0.965, by SVM methods, respectively. The prediction result of the SVM model was better than that obtained by MLR method, which proved SVM was a useful tool in the prediction of the superoxide quenching activity of fullerene derivatives. The results suggested that the minimum atomic partial charge, minimum valence of hydrogen atom, and minimum atomic state energy of oxygen atom, are the main independent factors contributing to the superoxide quenching activity of fullerene derivatives.