Models that contain the Modeling Application : STEPS (Home Page)

(STochastic Engine for Pathway Simulation (STEPS) is a package for exact stochastic simulation of reaction-diffusion systems in arbitrarily complex 3D geometries. Our core simulation algorithm is an implementation of Gillespie's SSA, extended to deal with diffusion of molecules over the elements of a 3D tetrahedral mesh. While it was mainly developed for simulating detailed models of neuronal signaling pathways in dendrites and around synapses, it is a general tool and can be used for studying any biochemical pathway in which spatial gradients and morphology are thought to play a role.)
Re-display model names with descriptions
    Models
1.  A model of cerebellar LTD including RKIP inactivation of Raf and MEK (Hepburn et al 2017)
2.  Ca2+ requirements for Long-Term Depression in Purkinje Cells (Criseida Zamora et al 2018)
3.  Calcium dynamics depend on dendritic diameters (Anwar et al. 2014)
4.  Cerebellar long-term depression (LTD) (Antunes and De Schutter 2012)
5.  IP3R model comparison (Hituri and Linne 2013)
6.  Parallel STEPS: Large scale stochastic spatial reaction-diffusion simulat. (Chen & De Schutter 2017)
7.  Python-based toolkits for STEPS (Chen and De Schutter 2014)
8.  Simulation of calcium signaling in fine astrocytic processes (Denizot et al 2019)
9.  Stochastic calcium mechanisms cause dendritic calcium spike variability (Anwar et al. 2013)

Re-display model names with descriptions