Abstract
Characteristic structural signatures of antidepressant agents were determined using the SARD-21 computer-aided modeling system. The influence of these signatures on the antidepressant activity was evaluated. This information was used to develop a mathematical model capable of predicting the antidepressant effectiveness of 1,2,4-triazoles and thietane-1,1-dioxides at a recognition level of 80%. The established structural parameters can be used to design new highly effective antidepressants and to predict a priori antidepressant activity in the 1,2,4-triazole and thietane-1,1-dioxide series.
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