Modeling beta-adrenergic control of cardiac myocyte contractility in silico. - Wikidata - wikimedia - TriplyDB

Modeling beta-adrenergic control of cardiac myocyte contractility in silico.

Modeling beta-adrenergic control of cardiac myocyte contractility in silico.

http://www.wikidata.org/entity/Q44583904

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Bigger, better, faster: principles and models of AKAP anchoring protein signaling.Bridging scales through multiscale modeling: a case study on protein kinase A Multiscale models of cell signaling.Systems biology approaches for advancing the discovery of effective drug combinations Scaffold state switching amplifies, accelerates, and insulates protein kinase C signaling Graphical approach to model reduction for nonlinear biochemical networks.Transfer functions for protein signal transduction: application to a model of striatal neural plasticity A compartmentalized mathematical model of the β1-adrenergic signaling system in mouse ventricular myocytes Multiscale modeling of cardiac cellular energetics.Modeling the effects of β1-adrenergic receptor blockers and polymorphisms on cardiac myocyte Ca2+ handling.PKA catalytic subunit compartmentation regulates contractile and hypertrophic responses to β-adrenergic signaling Mechanisms of cyclic AMP compartmentation revealed by computational models.Network reconstruction and systems analysis of cardiac myocyte hypertrophy signaling.Phospholemman is a negative feed-forward regulator of Ca2+ in β-adrenergic signaling, accelerating β-adrenergic inotropy.Robustness portraits of diverse biological networks conserved despite order-of-magnitude parameter uncertainty.Cardiac models in drug discovery and development: a review.Computational models reduce complexity and accelerate insight into cardiac signaling networks Modeling cardiac β-adrenergic signaling with normalized-Hill differential equations: comparison with a biochemical model.Strategies and Tactics in Multiscale Modeling of Cell-to-Organ Systems.Using models of the myocyte for functional interpretation of cardiac proteomic data.Using in silico models to simulate dual perturbation experiments: procedure development and interpretation of outcomes.The Physiome Projects and Multiscale Modeling Mathematical modeling of physiological systems: an essential tool for discovery.Nonlinear and Stochastic Dynamics in the Heart Computational approaches for modeling regulatory cellular networks.Comparison of the Young-Laplace law and finite element based calculation of ventricular wall stress: implications for postinfarct and surgical ventricular remodeling.Local control of β-adrenergic stimulation: Effects on ventricular myocyte electrophysiology and Ca(2+)-transient.The switching role of β-adrenergic receptor signalling in cell survival or death decision of cardiomyocytes.Multiscale model of dynamic neuromodulation integrating neuropeptide-induced signaling pathway activity with membrane electrophysiology.Computational modeling of mammalian signaling networks.Integrative modeling of the cardiac ventricular myocyte.Systems analysis of PKA-mediated phosphorylation gradients in live cardiac myocytes Cardiac myocytes and local signaling in nano-domains.Kinetic properties of the cardiac L-type Ca2+ channel and its role in myocyte electrophysiology: a theoretical investigation.Subunit interaction determines IKs participation in cardiac repolarization and repolarization reserve Compartmentation of cAMP signaling in cardiac myocytes: a computational study.Computational physiology and the Physiome Project.Assessment of cellular mechanisms contributing to cAMP compartmentalization in pulmonary microvascular endothelial cells.Pancreatic Beta Cell G-Protein Coupled Receptors and Second Messenger Interactions: A Systems Biology Computational Analysis Computational biology in the study of cardiac ion channels and cell electrophysiology.

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P2860

Modeling beta-adrenergic control of cardiac myocyte contractility in silico.

http://www.wikidata.org/entity/Q44583904

description

2003 nî lūn-bûn

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2003年の論文

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2003年学术文章

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2003年学术文章

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2003年学术文章

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2003年学术文章

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2003年学术文章

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2003年学术文章

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2003年學術文章

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2003年學術文章

@zh-hant

name

Modeling beta-adrenergic control of cardiac myocyte contractility in silico.

@en

Modeling beta-adrenergic control of cardiac myocyte contractility in silico.

@nl

type

label

Modeling beta-adrenergic control of cardiac myocyte contractility in silico.

@en

Modeling beta-adrenergic control of cardiac myocyte contractility in silico.

@nl

prefLabel

Modeling beta-adrenergic control of cardiac myocyte contractility in silico.

@en

Modeling beta-adrenergic control of cardiac myocyte contractility in silico.

@nl

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Journal of Biological Chemistry

P1476

Modeling beta-adrenergic control of cardiac myocyte contractility in silico.

@en

P2093

Andrew D McCulloch

http://www.w3.org/2001/XMLSchema#string

Anushka P Michailova

http://www.w3.org/2001/XMLSchema#string

Jeffrey J Saucerman

http://www.w3.org/2001/XMLSchema#string

Laurence L Brunton

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P2860

Cardiac excitation-contraction coupling

cAMP-dependent regulation of cardiac L-type Ca2+ channels requires membrane targeting of PKA and phosphorylation of channel subunits

Emergent properties of networks of biological signaling pathways

The IkappaB-NF-kappaB signaling module: temporal control and selective gene activation

Genetically encoded reporters of protein kinase A activity reveal impact of substrate tethering.

Building a cellular switch: more lessons from a good egg.

Functional consequences of altering myocardial adrenergic receptor signaling.

A uniform extracellular stimulus triggers distinct cAMP signals in different compartments of a simple cell

Regulation of cardiac L-type calcium channels by protein kinase A and protein kinase C.

Phospholamban and cardiac contractility.

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47997-48003

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scholarly article

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10.1074/JBC.M308362200

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2003-09-12T00:00:00Z

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10569927

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12972422

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