ABSTRACT
Abstract ................................................................................................. 200 19.1 Introduction ................................................................................ 200 19.2 Materials and Methods ............................................................... 200 19.3 Results and Discussion .............................................................. 203 19.4 Conclusions ................................................................................ 209 Keywords .............................................................................................. 209 References ............................................................................................. 209
ABSTRACT
Using the pattern recognition theory methods relationships between the structure and antiarrhythmic activity of some nitrogen-and oxygen containing biologically active substances was been analyzed. The influence of the functional groups, as well as other structural descriptors on the antiarrhythmic properties has been evaluated. On base this descriptors set the model to predict antiarrhythmic activity of potential pharmaceutical preparations at the recognition level of 80% by means of two different approaches (geometric approach, the method of voting) has been generated
19.1 INTRODUCTION
Antiarrhythmic drugs are widely used in clinical practice. They differ by potency, mechanisms of antiarrhythmic action, and also by manifestations of side effects [1-3]. Many of currently used preparations are either insufficiently effective or exhibit the antiarrhythmic action during a long-term treatment [4, 5]. In some cases effective antiarrhythmic therapy (AAT) is even impossible for patients with ventricular arrhythmias due to fatal heart rhythm disturbances. Thus, a search for new biologically active compounds exhibiting high antiarrhythmic activity (AAA) still represents an important task.
