TY - JOUR AU - Bobkova, L. S. PY - 2019/02/12 Y2 - 2024/03/29 TI - Modelling toxicity biologically active derivatives amides of pyridine carboxylic acids JF - Farmatsevtychnyi zhurnal JA - Farm Zh VL - 0 IS - 4 SE - General and Clinical Pharmacology DO - UR - https://pharmj.org.ua/index.php/journal/article/view/354 SP - 90-100 AB - At the present time attention is directed search for effective and non- toxic biologically active compounds. For search effective substances with the set properties requires thorough analysis and theoretical studies of primary experimental data with the use of modern information, computer technologies and mathematical modeling methods. In this regard, relevant studies are based on a theoretical evaluation of the peculiarities of interrelation «structure–toxicity».A in of invention: The study of structural characteristics (descriptors) derivatives of pyridine, for which revealed analgesic activity for the modelling of acute toxicity as the basis to optimization of directional synthesis of new biologically active compounds.Object of research are structural analogues of active compounds drugs Amizon and Nifenazon - derivatives of 3-(4)-pyridinecarboxylic acid amides. We used the methods of regression and discriminant analysis.  Descriptors what characterizing patterns of molecules calculated using the programs E-Dragon (> 1600 descriptors) after pre-optimize the geometry of molecules.Using regression and discriminant analysis we studied interrelation on acute toxicity from 2D and 3D descriptors of pyridinecarboxylic acid amides. The dependence of acute toxicity from the structure of the derivatives pyridinecarboxylic acid amides described by a combination of descriptors Mor30m; Mor30p; G1p (R= 0.9503, R2=0.9031). According to the results of the discriminant analysis we found a combination of molecular descriptors, which allows with a high accuracy (100 %) to distribute pyridinecarboxylic acid amides in groups ranges LD50 from 5,045 to 2,712 mm/kg (the first group) and from 1,885 to 1,491 mm/kg (second group). Obtained one research data on the patterns of relationships between structure and toxicity, can be applied for evaluation of toxicity and search optimization and purposeful synthesis of new biologically active secure connections. ER -