M. M. Trush¹*, V. V. Kovalishyn¹, V. M. Blagodatnyi², V. S. Brovarets¹,
S. G. Pilyo¹, V. M. Prokopenko¹, D. M. Hodyna¹, L. O. Metelytsia¹

¹Institute of Bioorganic Chemistry and Petrochemistry, National Academy
of Sciences of Ukraine, Kyiv;
²Shupyk National Medical Academy of Postgraduate Education, Kyiv, Ukraine;
*e-mail: maria@bpci.kiev.ua

The regression QSAR models were built to predict the antimicrobial activity of new thiazole derivatives. Compounds with high predicting activity were synthesized and evaluated against Gram-positive and Gram-negative bacteria and fungi. 1,3-Thiazole-4-ylphosphonium salts 4 and 5 displayed good antibacterial properties and high antifungal activity. The predictions are in a good agreement with the experiment results, which indicate the good predictive power of the created QSAR models.