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simforager_null.config
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119 lines (87 loc) · 4.55 KB
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; These are version 1.0 test of 'null' forager parameters for SIMCoV
; This means a parameter-based translation of SIMCoV into SIMForager without yet
; changing anything about the existing SIMCoV code base
; Dimensions: x y z (assuming grid spacing of 5 microns)
dim = 500 500 1
; >> resulting in 225000000 total environment (epithelial) cells
; Whole lung dimensions: x y z (assuming grid spacing of 5 microns)
whole-lung-dim = 500 500 1
; Number of timesteps (assuming 1 min per timestep)
; Set to arbitrary small number to start
timesteps = 14400
; >> ten days
; Location of initial infections (omit for no infections); can be:
; list of space-separated coords x,y,z,timestep
; uniform:N (where N is an int, for N uniformly distributed starting points at time 0)
; random:N (where N is an int, for N randomly distributed starting points at time 0)
infection-coords = uniform:22500
; >> this is .001% of total grid cells
; Number of virions at initial infection locations
; Chosen to guarantee that at least one cell is infected at the start - see infectivity
initial-infection = 1
; >> initially 1000 combined with number of initial infection sites, this should yield a 1:100 ratio of grid cells to algae cells
; Average number of time steps to expressing virions after cell is infected
incubation-period = 0
; Average number of time steps to death after apoptosis is induced
apoptosis-period = 3
; Average number of time steps to death after a cell starts expresssing
expressing-period = 1000000
; Factor multiplied by number of virions to determine probability of infection
infectivity = 0.5
; SIMCoV paper default
; Multiplier reducing infectivity where inflammatory signal is present
; (the multiplier reducing infectivity should be between 0.9 and 0.7 based on values
; in literature demonstrating a reduction of cell death in vitro with IFN)
infectivity-multiplier = 1.0
; >> irrelevant
; Number of virions produced by expressing cell each time step
virion-production = 1.1
; this is SIMCoV default we're going with for now...
; Multiplier reducing virion production rate where inflammatory signal is present
; (the reduction should be represented by a multiplier betweeon 0.05 and 0.15)
virion-production-multiplier = 1.0
; Fraction by which virion count drops each time step
virion-clearance = 0.0
; >> effectively algae death rate; not considered here
; Fraction of virions that diffuse into all neighbors each time step
virion-diffusion = 0.0
; Amount of chemokine produced by expressing cells each time step
chemokine-production = 0.0
; Amount by which chemokine concentration drops each time step
chemokine-decay = 0.0
; Fraction of chemokine concentration that diffuses into all neighbors each time step
chemokine-diffusion = 1.0
; Minimum chemokine concentration that triggers a T cell
min-chemokine = 0.0
; >> this should allow fish (T-cells) to be present at start
; Impact of antibodies; multiplier for virion decay (setting to 1 means this has no effect)
antibody-factor = 1
; Number of time steps before antibodies start to be produced
antibody-period = 1000000
; >> WHAT!? NOBODY INVITED ANTIBODIES TO A REEF
; Number of tcells generated at each timestep for the whole lung
; This is scaled up 5000x from the mouse model (20 per minute)
tcell-generation-rate = 100
; >> for a stable population of fish (T-cells) throughout sim
; Number of time steps before T cells start to be produced
tcell-initial-delay = 0
; Average number of time steps to death for a T cell in the vasculature
tcell-vascular-period = 2
; Average number of time steps to death after a T cell extravasates
tcell-tissue-period = 1000000
; Number of time steps a T cell is bound to an epithelial cell when inducing apoptosis
tcell-binding-period = 2
; Max probability of a T cell binding to an infected cell in one time step
max-binding-prob = 1
; T cells in tissue follow the chemokine gradient
tcells-follow-gradient = false
; Random seed
seed = 29
; Number of timesteps between samples (set to 0 to disable sampling)
sample-period = 5
; Resolution for sampling
sample-resolution = 1
; Max. block dimension - larger means more locality but worse load balance. Set to 0 for largest possible.
max-block-dim = 10
; Output directory (automatically generated)
; output = results