Abstract
We describe a Markov state model for a cloned potassium channel of the human heart (IKvLQT1). The parameters of the model are determined by a least-squares fit of predicted vs. measured data. The fitting process is achieved by using the `SPSA' optimizer to sequentially choose trial values of the parameters. At each choice of parameter value, a loss function is computed by simulating the action of the channel at that trial parameter value. When the optimizer has converged, the parameter value represents the best fit.
Original language | English (US) |
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Pages (from-to) | 1587-1590 |
Number of pages | 4 |
Journal | Winter Simulation Conference Proceedings |
Volume | 2 |
State | Published - Dec 1 1998 |
Event | Proceedings of the 1998 Winter Simulation Conference, WSC. Part 1 (of 2) - Washington, DC, USA Duration: Dec 13 1998 → Dec 16 1998 |
ASJC Scopus subject areas
- Software
- Modeling and Simulation
- Safety, Risk, Reliability and Quality
- Chemical Health and Safety
- Applied Mathematics