Abstract
Synthetic biology is an exciting area of research that hopes to understand the building blocks of life. With the goal of constructing a predictive model to ultimately guide the bottom-up construction of a synthetic neuron that can qualitatively recapitulate the electrophysiology of biological neurons, we construct and investigate Markov-type models of voltage-gated sodium (Nav) and potassium (Kv3.1) ion channels that capture their complex kinetics. We also mapped a Hodgkin-Huxley model of an inward rectifying potassium channel (Kir2.1) to a Markov-type model.
Published Version
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