Math. Model. Nat. Phenom.
Volume 9, Number 6, 2014Blood flows
|Page(s)||4 - 16|
|Published online||31 July 2014|
Systems Biology and Systems Pharmacology of Thrombosis
1 Federal Research and Clinical Center
of Pediatric Hematology Oncology and Immunology, 117198
2 Center for Theoretical Problems of Physicochemical Pharmacology Russian Academy of Sciences, 119991 Moscow, Russia
3 Faculty of Physics, Moscow State University, 119899 Moscow, Russia
4 National Research Center for Hematology, 125167 Moscow, Russia
5 Cardiovascular Medicine, University of Nottingham, Nottingham, UK
6 Center for Integrative Research on Cardiovascular Aging Aurora University of Wisconsin Medical Group, Aurora Health Care Milwaukee, Wisconsin, United States of America
7 Institute of Theoretical and Experimental Biophysics Russian Academy of Sciences, 142290 Pushchino, Russia
Corresponding author. E-mail: firstname.lastname@example.org
Thrombus formation in flowing blood is a complex time- and space-dependent process of cell adhesion and fibrin gel formation controlled by huge intricate networks of biochemical reactions. This combination of complex biochemistry, non-Newtonian hydrodynamics, and transport processes makes thrombosis difficult to understand. That is why numerous attempts to use mathematical modeling for this purpose were undertaken during the last decade. In particular, recent years witnessed something of a transition from the “systems biology” to the “systems pharmacology/systems medicine” stage: computational modeling is being increasingly applied to practical problems such as drug development, investigation of particular events underlying disease, analysis of the mechanism(s) of drug’s action, determining an optimal dosing protocols, etc. Here we review recent advances and challenges in our understanding of thrombus formation.
Mathematics Subject Classification: 92C42 / 92C35 / 92C50 / 92C05
Key words: systems biology / systems pharmacology / thrombosis / hemostasis / platelets / blood coagulation
© EDP Sciences, 2014
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.