In Silico Hemostasis Modeling and Prediction

Abstract

Computational physiology, i.e., reproduction of physiological (and, by extension, pathophysiological) processes in silico, could be considered one of the major goals in computational biology. One might use computers to simulate molecular interactions, enzyme kinetics, gene expression, or whole networks of biochemical reactions, but it is (patho)physiological meaning that is usually the meaningful goal of the research even when a single enzyme is its subject. Although exponential rise in the use of computational and mathematical models in the field of hemostasis and thrombosis began in the 1980s (first for blood coagulation, then for platelet adhesion, and finally for platelet signal transduction), the majority of their successful applications are still focused on simulating the elements of the hemostatic system rather than the total (patho)physiological response in situ. Here we discuss the state of the art, the state of the progress toward the efficient “virtual thrombus formation,” and what one can already get from the existing models.

Mechanisms Underlying Dichotomous Procoagulant COAT Platelet Generation—A Conceptual Review Summarizing Current Knowledge

“…Interestingly, Sveshnikova et al [ 105 ] have proposed and simulated in silico [ 219 ] that the high and sustained [Ca 2+ ] cyt required for PS exposure might be due to a two-step “decision-making” mechanism. First, the low (ca.…”

In vitro models of thrombosis and hemostasis

“…The human hemostasis system remains the subject of active research primarily due to its great clinical significance: complications caused by arterial thrombosis alone are the most common cause of death and disability in people worldwide [1]. The key methods for studying the physiology of hemostasis today are in vivo animal models [2], as well as in vitro [3][4][5] and in silico [6] approaches.…”