ABSTRACT
Most of pharmaceutical agents display a number of biological activities. It is obvious that testing even one compound for thousands of biological activities is not practically possible. A computer-aided prediction is therefore the method of choice in this case to select the most promising bioassays for particular compounds. Using the PASS Online software, we determined the probable anti-inflammatory action of the 12 new hybrid dithioloquinolinethiones derivatives. Chemical similarity search in the World-Wide Approved Drugs (WWAD) and DrugBank databases did not reveal close structural analogues with the anti-inflammatory action. Experimental testing of anti-inflammatory activity of the synthesized compounds in the carrageenan-induced inflammation mouse model confirmed the computational predictions. The anti-inflammatory activity of the studied compounds (2a, 3a-3k except for 3j) varied between 52.97% and 68.74%, being higher than the reference drug indomethacin (47%). The most active compounds appeared to be 3h (68.74%), 3k (66.91%) and 3b (63.74%) followed by 3e (61.50%). Thus, based on the in silico predictions a novel class of anti-inflammatory agents was discovered.
Subject(s)
Anti-Inflammatory Agents , Carrageenan , Quantitative Structure-Activity Relationship , Quinolines , Animals , Mice , Anti-Inflammatory Agents/chemistry , Anti-Inflammatory Agents/pharmacology , Quinolines/chemistry , Quinolines/pharmacology , Inflammation/drug therapy , Inflammation/chemically induced , Thiones/chemistry , Thiones/pharmacology , Male , Edema/drug therapy , Edema/chemically inducedABSTRACT
PTP1b is a protein tyrosine phosphatase involved in the inactivation of insulin receptor. Since inhibition of PTP1b may prolong the action of the receptor, PTP1b has become a drug target for the treatment of type II diabetes. In the present study, prediction of inhibition using docking analysis targeted specifically to the active or allosteric site was performed on 87 compounds structurally belonging to 10 different groups. Two groups, consisting of 15 thiomorpholine and 10 thiazolyl derivatives exhibiting the best prediction results, were selected for in vitro evaluation. All thiomorpholines showed inhibitory action (with IC50 = 4-45 µΜ, Ki = 2-23 µM), while only three thiazolyl derivatives showed low inhibition (best IC50 = 18 µΜ, Ki = 9 µΜ). However, free binding energy (E) was in accordance with the IC50 values only for some compounds. Docking analysis targeted to the whole enzyme revealed that the compounds exhibiting IC50 values higher than expected could bind to other peripheral sites with lower free energy, Eo, than when bound to the active/allosteric site. A prediction factor, E- (ΣEo × 0.16), which takes into account lower energy binding to peripheral sites, was proposed and was found to correlate well with the IC50 values following an asymmetrical sigmoidal equation with r2 = 0.9692.
