CC BY-NC-ND 4.0 · Thromb Haemost 2021; 121(09): 1122-1137
DOI: 10.1055/s-0040-1722187
Review Article

Uncovering Membrane-Bound Models of Coagulation Factors by Combined Experimental and Computational Approaches

Y. Zenmei Ohkubo*
1  Department of Bioinformatics, School of Life and Natural Sciences, Abdullah Gül University, Kayseri, Turkey
,
2  Global and Planetary Health, College of Public Health, University of South Florida, Tampa, Florida, United States
› Author Affiliations
Funding This work was supported in part by Abdullah Gül Üniversitesi Bilimsel Araştırma Projeleri (TSA-2017-90 to Y.Z.O.).

Abstract

In the life sciences, including hemostasis and thrombosis, methods of structural biology have become indispensable tools for shedding light on underlying mechanisms that govern complex biological processes. Advancements of the relatively young field of computational biology have matured to a point where it is increasingly recognized as trustworthy and useful, in part due to their high space–time resolution that is unparalleled by most experimental techniques to date. In concert with biochemical and biophysical approaches, computational studies have therefore proven time and again in recent years to be key assets in building or suggesting structural models for membrane-bound forms of coagulation factors and their supramolecular complexes on membrane surfaces where they are activated. Such endeavors and the proposed models arising from them are of fundamental importance in describing and understanding the molecular basis of hemostasis under both health and disease conditions. We summarize the body of work done in this important area of research to drive forward both experimental and computational studies toward new discoveries and potential future therapeutic strategies.

* Equally contributed as corresponding co-authors.




Publication History

Received: 18 May 2020

Accepted: 11 November 2020

Publication Date:
02 July 2021 (online)

© 2021. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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