Neural networks in the modelling of the biological activity of chemical compounds
Research description
Dr. Dimopoulos' research involves the use of neural networks in the modelling of the biological activity of chemical compounds. Specifically, Dr. Dimopoulos and his team have developed methods that accurately model the Aldose Reductase (AR) Inhibitory Activity of classes of compounds including nitrophenyl derivatives, phenolic derivatives, and pyridazine derivatives. The inhibition of the AR enzyme is considered to be an approach to control diabetic complications, ischemia, abnormal vascular smooth cell proliferation, cancers, and mood disorders.
