Dataset Information

Susree2018 - Effect of coated platelets on thrombin generation

ABSTRACT: Mathematical model of blood coagulation that simulates the effect of coated platelets on thrombin generation.

SUBMITTER: Matthew Roberts

PROVIDER: MODEL1808080001 | BioModels | 2018-08-08

REPOSITORIES: BioModels

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	MODEL1808080001?filename=Susree2018.cps	Other
	MODEL1808080001?filename=Susree2018.xml	Xml
	MODEL1808080001?filename=fig4.jpg	Other
	MODEL1808080001?filename=fig5.jpg	Other

Items per page:

1 - 4 of 4

Publications

Coated platelets introduce significant delay in onset of peak thrombin production: Theoretical predictions.

Susree M M Panteleev Mikhail A MA Anand M M

Journal of theoretical biology 20180518

Platelets play a crucial role in the initiation, progress, termination as well as regulation of blood coagulation. Recent studies have confirmed that not all but only a small percentage of thrombin-activated platelets ("coated" platelets) exhibit procoagulant properties (namely the expression of phosphatidylserine binding sites) required for the acceleration and progress of coagulation. A mechanistic model is developed for in vitro coagulation whose key features are distinct equations for coated ...[more]

PMID: 29782929

Similar Datasets

Project description:Stortelder1997 - Thrombin Generation Amidolytic Activity Mathematical modelling of a part of the blood coagulation mechanism. This model is described in the article: Mathematical modelling in blood coagulation : simulation and parameter estimation. Stortelder W.J.H., Hemker P.W., Hemker, H.C. CWI. Modelling, Analysis and Simulation, No. R 9720, p.1-11. Abstract: This paper describes the mathematical modelling of a part of the blood coagulation mechanism. The model includes the activation of factor X by a purified enzyme from Russel's Viper Venom (RVV), factor V and prothrombin, and also comprises the inactivation of the products formed. In this study we assume that in principle the mechanism of the process is known. However, the exact structure of the mechanism is unknown, and the process still can be described by different mathematical models. These models are put to test by measuring their capacity to explain the course of thrombin generation as observed in plasma after recalcification in presence of RVV. The mechanism studied is mathematically modelled as a system of differential-algebraic equations (DAEs). Each candidate model contains some freedom, which is expressed in the model equations by the presence of unknown parameters. For example, reaction constants or initial concentrations are unknown. The goal of parameter estimation is to determine these unknown parameters in such a way that the theoretical (i.e., computed) results fit the experimental data within measurement accuracy and to judge which modifications of the chemical reaction scheme allow the best fit. We present results on model discrimination and estimation of reaction constants, which are hard to obtain in another way. This model is hosted on BioModels Database and identified by: BIOMD0000000358 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Project description:Nayak2015 - Blood Coagulation Network - Predicting the Effects of Various Therapies on Biomarkers Note: The SBML model is generated from SimBiology. The SimBiology (.sbproj) file is available for download from the curation tab. This model is described in the article: Using a Systems Pharmacology Model of the Blood Coagulation Network to Predict the Effects of Various Therapies on Biomarkers. Nayak S, Lee D, Patel-Hett S, Pittman DD, Martin SW, Heatherington AC, Vicini P, Hua F. CPT Pharmacometrics Syst Pharmacol. 2015 Jul;4(7):396-405. Abstract: A number of therapeutics have been developed or are under development aiming to modulate the coagulation network to treat various diseases. We used a systems model to better understand the effect of modulating various components on blood coagulation. A computational model of the coagulation network was built to match in-house in vitro thrombin generation and activated Partial Thromboplastin Time (aPTT) data with various concentrations of recombinant factor VIIa (FVIIa) or factor Xa added to normal human plasma or factor VIII-deficient plasma. Sensitivity analysis applied to the model revealed that lag time, peak thrombin concentration, area under the curve (AUC) of the thrombin generation profile, and aPTT show different sensitivity to changes in coagulation factors' concentrations and type of plasma used (normal or factor VIII-deficient). We also used the model to explore how variability in concentrations of the proteins in coagulation network can impact the response to FVIIa treatment. This model is hosted on BioModels Database and identified by: MODEL1511160000. To cite BioModels Database, please use: BioModels: Content, Features, Functionality and Use. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.