Models that contain the Implementer : Makadia, Hirenkumar K [hiren.makadia at gmail.com]

Re-display model names without descriptions
    Models   Description
1.  Activator protein 1(AP-1) transcriptional regulatory model in brainstem neurons (Makadia et al 2015)
We have developed a mathematical model of AT1R-activated signaling kinases and a downstream transcriptional regulatory network controlling the family of activator protein 1 (AP-1) transcription factors. The signaling interactions of the transcriptional model were modeled with either mass-action or Michaelis--Menten kinetics, whereas the phenomenological model of the kinases used exponentials. These models were validated against their respective data domains independently and were integrated into one. The model was implemented as a set of ordinary differential equations solved using the ode15s solver in Matlab (Mathworks, USA).
2.  Cell signaling/ion channel variability effects on neuronal response (Anderson, Makadia, et al. 2015)
" ... We evaluated the impact of molecular variability in the expression of cell signaling components and ion channels on electrophysiological excitability and neuromodulation. We employed a computational approach that integrated neuropeptide receptor-mediated signaling with electrophysiology. We simulated a population of neurons in which expression levels of a neuropeptide receptor and multiple ion channels were simultaneously varied within a physiological range. We analyzed the effects of variation on the electrophysiological response to a neuropeptide stimulus. ..."
3.  Model of AngII signaling and membrane electrophysiology (Makadia, Anderson, Fey et al., 2015)
We developed a novel multiscale model to bridge neuropeptide receptor-activated signaling pathway with membrane electrophysiology. The model studies the effects of Angiotensin II (AngII) on neuronal excitability changes mediated by signaling dynamics and downstream phosphorylation of ion channels. The multiscale model was implemented as a set of ordinary differential equations solved using the ode15s solver in Matlab (Mathworks, USA). The signaling reactions were modeled with either mass-action or Michaelis--Menten kinetics and ion channel electrophysiology was modeled according to the Hodgkin-Huxley formalism. These models were initially validated against their respective data domains independently and were integrated to develop a multiscale model of signaling and electrophysiology.

Re-display model names without descriptions