J
James Sneyd
Researcher at University of Auckland
Publications - 186
Citations - 11960
James Sneyd is an academic researcher from University of Auckland. The author has contributed to research in topics: Inositol trisphosphate receptor & Calcium. The author has an hindex of 46, co-authored 180 publications receiving 11251 citations. Previous affiliations of James Sneyd include University of California, Los Angeles & University of Michigan.
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Journal ArticleDOI
MCMC Estimation of Markov Models for Ion Channels
Ivo Siekmann,Larry E. Wagner,David I. Yule,Colin Fox,David Bryant,Edmund J. Crampin,James Sneyd +6 more
TL;DR: This method, new to the authors' knowledge, detects overparameterizations and gives more accurate results than existing MCMC methods, and shows similar performance as QuB-MIL, which indicates that it also compares well with maximum likelihood estimators.
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A computational model of lysosome–ER Ca2+ microdomains
TL;DR: A computational model of lysosome–ER coupling was generated that incorporated a previous model of the inositol trisphosphate (IP3) receptor as the ER Ca2+ ‘amplifier’ andLysosomal leaks as the Ca2- ‘trigger’, suggesting that the microdomain [Ca2+] need not be higher than that in the cytosol for responses to occur, thus matching the relatively high affinity of IP3 receptors
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Calcium wave propagation by calcium-induced calcium release : an unusual excitable system
TL;DR: Goldbeter's model for calcium-induced calcium release is an excitable system of a type not previously studied in detail, and is considered a piecewise linear simplification of the model, and construct travelling pulse and periodic plane wave solutions to the simplified model.
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Traveling waves of calcium in a pancreatic acinar cells: model construction and bifurcation analysis
TL;DR: In this article, a model for intracellular calcium wave propagation with particular attention to pancreatic acinar cells was proposed, based on a model of the inositol trisphosphate (IP3) receptor.
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A Deterministic Model Predicts the Properties of Stochastic Calcium Oscillations in Airway Smooth Muscle Cells
TL;DR: Calcium dynamics can be accurately modeled using simplified models, and to obtain qualitative predictions of how oscillation frequency depends on parameters it is sufficient to use a deterministic model.