Key result
Kinetic modeling of platelet aggregation pathways identified PIP2, PIP3, PI3K, DAG, IP3, and PKC as critical sensitive parameters and potential novel targets for antiplatelet drugs.
Kinetic modeling of platelet aggregation pathways identifies specific intracellular signaling molecules (e.g., PIP2, PIP3, PI3K) as potential targets for novel antiplatelet therapies.
Abstract—Kinetic Modeling of a process in biochemical system has long been pursued with the aim of understanding the metabolic processes for the human system. Kinetic models that are based on elementary reactions give the best accuracy and reliability. Platelets, an important component of blood, play a major role in hemostasis, which aids in the formation of blood clots. Platelet aggregation is the clumping together of platelets in the blood. The process of converting the blood from a liquid to a solid state is called Thrombus. Platelet Aggregation is a part of the sequence of reactions leading to the formation of a Thrombus. The objective of this paper is to use kinetic modeling to study the processes of Thrombin Induced Platelet Aggregation (TIPA) and Collagen Induced Platelet Aggregation (CIPA) pathways in human system, simulate these pathways using CellDesigner and find the target drugs having antiplatelet potency.
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Lingam et al. (2011) studied Platelet Aggregation. Kinetic modeling of TIPA and CIPA pathways was evaluated on Identification of sensitive parameters in platelet aggregation pathways. Kinetic modeling of platelet aggregation pathways identified PIP2, PIP3, PI3K, DAG, IP3, and PKC as critical sensitive parameters and potential novel targets for antiplatelet drugs.
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