The lesion of liver is one of the most serious side effects which arise after using of aspirin. Negative influence on hepatocytes shows not only in case of overdose but also in curative doses which are prescribed for curing of several diseases (for example arthritis). One of the reasons of that is abnormality in regulation and functioning of the energetic metabolism of liver cells, particularly, Krebs cycle. Investigation of drug side effects mechanisms consists in two parts. Firstly, it is necessary to understand how is possible to decrease toxic effects of existed drugs. Secondly – to prognose new drug side effects that may significantly decrease production inputs and – in main - risk of their using. The strategy of complex research drugs action and their side effects was developed for that in our laboratory on the basis of kinetic modeling. AAs an example of this method using for drug side effects research we investigated the mechanisms of action of aspirin and other salicylates on the work of mitochondrion in liver cells, in particular, on the Krebs cycle.

One of the first steps during new drugs development is known to be the screening of library of potential compounds. The method of this procedure optimization was developed in our laboratory. This method represents development of kinetic model of concerned biochemical systems, finding of all available quantitative experimental data, which characterizing their functioning and regulation, and taking all these data into model account. Such approach allows not only collect together all the information available about the concerned biochemical system, but also use it effectively on the pre-clinical stages of new drugs development, in particular, during the search of protein target and effective clinical candidates optimization. The method of information processing, given in the framework of this approach, allows finding effective inhibitors not only for one protein target but also in that case when biotarget is represented by the part of metabolic or signal way.

The method was successfully used for optimization of library compounds screening procedure and during creation of the new antipheumonia drug, which effectively influencing the viability Streptococcus pneumonia.