@article{Myrko_Ogurtsov_Kaminskiy_2019, title={Thiazolidine derivatives anticancer activity prediction using RDF molecular descriptors}, url={https://pharmj.org.ua/index.php/journal/article/view/777}, abstractNote={<p>Research of «structure — anticancer activity» dependence for 17 thiazolidine derivatives, which posses high selectivity of anticancer action on lines 786-O and UO-31 of kidney cancer cells, using RDF 3D molecular descriptors was carried out.</p> <p>Using statistical analysis of obtained regression equations we can make an assumption about dependence of anticancer activity on sizes and 3D configurations of molecules and about different mechanisms of action on certain cancer cell lines.</p&gt;}, number={4}, journal={Farmatsevtychnyi zhurnal}, author={Myrko, I.I. and Ogurtsov, V.V. and Kaminskiy, D.V.}, year={2019}, month={Oct.}, pages={50-54} }