ArticleCellular and molecular bioengineering2019
A Multiscale Model for Recruitment Aggregation of Platelets by Correlating with
Article in Cellular and molecular bioengineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- The Effect of von Willebrand Disease on Platelet Adhesion Dynamics: Correlating a Multiscale Platelet Model to In Vitro Results.IEEE transactions on bio-medical engineering · 2026Article
- A three-dimensional shear dependent continuum model of platelet aggregation under flow.PLoS computational biology · 2026Article
- Platelet Adhesion and Aggregation Dynamics over Collagen- and VWF-coated Surfaces: Insights from Dissipative Particle Dynamics Simulations and Microfluidic Experiments.Bulletin of mathematical biology · 2026Article
- Platelet Biorheology and Mechanobiology in Thrombosis and Hemostasis: Perspectives from Multiscale Computation.International journal of molecular sciences · 2024Review
- Decoding thrombosis through code: a review of computational models.Journal of thrombosis and haemostasis : JTH · 2024Review
- A Multiscale Model for Shear-Mediated Platelet Adhesion Dynamics: Correlating In Silico with In Vitro Results.Annals of biomedical engineering · 2023Article
- A prestressed intracellular biomechanical model for the platelet to capture the disc-to-sphere morphological change from resting to activated state.International journal of computational methods · 2022Article
- Multiphysics and multiscale modeling of microthrombosis in COVID-19.PLoS computational biology · 2022Article
- Emerging computational paradigms to address the complex role of gut microbial metabolism in cardiovascular diseases.Frontiers in cardiovascular medicine · 2022Review
- Mathematical and Computational Modeling of Device-Induced Thrombosis.Current opinion in biomedical engineering · 2021Article
- In Vitro Measurements of Shear-Mediated Platelet Adhesion Kinematics as Analyzed through Machine Learning.Annals of biomedical engineering · 2021Article
- A multiscale model for multiple platelet aggregation in shear flow.Biomechanics and modeling in mechanobiology · 2021Article
- Rapid analysis of streaming platelet images by semi-unsupervised learning.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2021Article
- A predictive multiscale model for simulating flow-induced platelet activation: Correlating in silico results with in vitro results.Journal of biomechanics · 2021Article
- Artificial Intelligence for Accelerating Time Integrations in Multiscale Modeling.Journal of computational physics · 2021Article
- Integrating blood cell mechanics, platelet adhesive dynamics and coagulation cascade for modelling thrombus formation in normal and diabetic blood.Journal of the Royal Society, Interface · 2021Article
- Online Machine Learning for Accelerating Molecular Dynamics Modeling of Cells.Frontiers in molecular biosciences · 2021Article
- Predictive modelling of thrombus formation in diabetic retinal microaneurysms.Royal Society open science · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
introductionWe developed a multiscale model to simulate the dynamics of platelet aggregation by recruitment of unactivated platelets flowing in viscous shear flows by an activated platelet deposited onto a blood vessel wall. This model uses coarse grained molecular dynamics (CGMD) for platelets at the microscale and dissipative particle dynamics (DPD) for the shear flow at the macroscale. Under conditions of relatively low shear, aggregation is mediated by fibrinogen via αIIbβ3 receptors.
methodsThe binding of αIIbβ3 and fibrinogen is modeled by a molecular-level hybrid force field consisting of Morse potential and Hooke law for the nonbonded and bonded interactions, respectively. The force field, parametrized in two different interaction scales, is calculated by correlating with the platelet contact area measured
resultsUsing our model, we derived, the relationship between recruitment force and distance between the centers of mass of two platelets, by integrating the molecular-scale inter-platelet interactions during recruitment aggregation in shear flows. Our model indicates that assuming a rigid-platelet model, underestimates the contact area by 89% and the detaching force by 93% as compared to a model that takes into account the platelet deformability leading to a prediction of a significantly lower attachment during recruitment.
conclusionsThe molecular-level predictive capability of our model sheds a light on differences observed between transient and permanent platelet aggregation patterns. The model and simulation framework can be further adapted to simulate initial thrombus formation involving multiple flowing platelets as well as deposition and adhesion onto blood vessels.
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