%0 Journal Article %1 Tai_2003_2234 %A Tai, Kaihsu %A Bond, Stephen D %A MacMillan, Hugh R %A Baker, Nathan Andrew %A Holst, Michael Jay %A McCammon, J. Andrew %D 2003 %J Biophys. J. %K 12668432 Acetylcholine, Acetylcholinesterase, Analysis, Chemical, Cholinergic, Comparative Computer Diffusion, Distribution, Element Fibers, Finite Gov't, Hydrolysis, Junction, Models, Motion, Muscle Neurological, Neuromuscular Non-P.H.S., Non-U.S. P.H.S., Receptors, Research Rheology, Simulation, Study, Support, Tissue U.S. %N 4 %P 2234--2241 %T Finite element simulations of acetylcholine diffusion in neuromuscular junctions. %U http://www.biophysj.org/cgi/content/full/84/4/2234 %V 84 %X A robust infrastructure for solving time-dependent diffusion using the finite element package FEtk has been developed to simulate synaptic transmission in a neuromuscular junction with realistic postsynaptic folds. Simplified rectilinear synapse models serve as benchmarks in initial numerical studies of how variations in geometry and kinetics relate to endplate currents associated with fast-twitch, slow-twitch, and dystrophic muscles. The flexibility and scalability of FEtk affords increasingly realistic and complex models that can be formed in concert with expanding experimental understanding from electron microscopy. Ultimately, such models may provide useful insight on the functional implications of controlled changes in processes, suggesting therapies for neuromuscular diseases.

@article{Tai_2003_2234, abstract = {A robust infrastructure for solving time-dependent diffusion using the finite element package FEtk has been developed to simulate synaptic transmission in a neuromuscular junction with realistic postsynaptic folds. Simplified rectilinear synapse models serve as benchmarks in initial numerical studies of how variations in geometry and kinetics relate to endplate currents associated with fast-twitch, slow-twitch, and dystrophic muscles. The flexibility and scalability of FEtk affords increasingly realistic and complex models that can be formed in concert with expanding experimental understanding from electron microscopy. Ultimately, such models may provide useful insight on the functional implications of controlled changes in processes, suggesting therapies for neuromuscular diseases.}, added-at = {2009-06-03T11:20:58.000+0200}, author = {Tai, Kaihsu and Bond, Stephen D and MacMillan, Hugh R and Baker, Nathan Andrew and Holst, Michael Jay and McCammon, J. Andrew}, biburl = {https://www.bibsonomy.org/bibtex/2a9f828176e6e47c1bba47c3cdc1bcde4/hake}, description = {The whole bibliography file I use.}, file = {Tai_2003_2234.pdf:Tai_2003_2234.pdf:PDF}, interhash = {cd8a581fa428dd23e8378a9841be9d93}, intrahash = {a9f828176e6e47c1bba47c3cdc1bcde4}, journal = {Biophys. J.}, keywords = {12668432 Acetylcholine, Acetylcholinesterase, Analysis, Chemical, Cholinergic, Comparative Computer Diffusion, Distribution, Element Fibers, Finite Gov't, Hydrolysis, Junction, Models, Motion, Muscle Neurological, Neuromuscular Non-P.H.S., Non-U.S. P.H.S., Receptors, Research Rheology, Simulation, Study, Support, Tissue U.S.}, month = Apr, number = 4, pages = {2234--2241}, pmid = {12668432}, timestamp = {2009-06-03T11:21:33.000+0200}, title = {Finite element simulations of acetylcholine diffusion in neuromuscular junctions.}, url = {http://www.biophysj.org/cgi/content/full/84/4/2234}, volume = 84, year = 2003 }