Fibrin polymerization simulation using a reactive dissipative particle dynamics method.

Biomech Model Mechanobiol

School of Chemical, Materials, and Biomedical Engineering, University of Georgia, 597 D.W. Brooks Drive, Athens, GA, 30602, USA.

Published: October 2018

The study on the polymerization of fibrinogen molecules into fibrin monomers and eventually a stable, mechanically robust fibrin clot is a persistent and enduring topic in the field of thrombosis and hemostasis. Despite many research advances in fibrin polymerization, the change in the structure of fibrin clots and its influence on the formation of a fibrous protein network are still poorly understood. In this paper, we develop a new computational method to simulate fibrin clot polymerization using dissipative particle dynamics simulations. With an effective combination of reactive molecular dynamics formularies and many body dissipative particle dynamics principles, we constructed the reactive dissipative particle dynamics (RDPD) model to predict the complex network formation of fibrin clots and branching of the fibrin network. The 340 kDa fibrinogen molecule is converted into a spring-bead coarse-grain system with 11 beads using a topology representing network algorithm, and using RDPD, we simulated polymerization and formation of the fibrin clot. The final polymerized structure of the fibrin clot qualitatively agrees with experimental results from the literature, and to the best of our knowledge this is the first molecular-based study that simulates polymerization and structure of fibrin clots.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6139262PMC
http://dx.doi.org/10.1007/s10237-018-1033-8DOI Listing

Publication Analysis

Top Keywords

dissipative particle
16
particle dynamics
16
fibrin clot
16
structure fibrin
12
fibrin clots
12
fibrin
11
fibrin polymerization
8
reactive dissipative
8
formation fibrin
8
dynamics
5

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!