Platelet aggregation plays an important role in hemostasis, as it prevents blood loss upon vessel wall disruption. Computational modelling is one of the useful approaches to study this system.  The use of a cellular automaton as a model makes it possible both to study the dynamics of individual aggregates and to investigate the behaviour of the system as a whole. The aim of this research is to study platelet aggregation using a model based on a cellular automaton. As a result, a model of platelet aggregation in the basic approximation and with flow condition was constructed. It was shown that under flow conditions, the most number of the aggregates are dimers and trimers, whereas aggregates of large sizes are much less presented.

Store-operated calcium entry (SOCE) plays an important role in platelet function. It is generally assumed that the mechanism of SOCE relies on the direct interaction of STIM1 and ORAI1 proteins with specific STIM1:ORAI1 stoichiometry. However, in platelets, other pathways may take place. Here we aim to investigate the mechanisms of SOCE in platelets. We developed a lattice-based mathematical model that represented STIM1-ORAI1 interactions and applied it to both HEK cells, where SOCE mechanism is well established, and platelets. The model was able to describe STIM1-ORAI1 behavior in HEK cells successfully. We used the same parameters for protein interaction and applied them to platelets. As a result, we demonstrated that the number of STIM1 proteins on ER membrane could not assure the needed stoichiometry to proper SOCE in platelets.