Table 1 Table of standard, fixed simulation parameters, and the free parameters that can be optimized (last seven rows).

From: On the efficiency of chemotactic pursuit - Comparing blind search with temporal and spatial gradient sensing

Symbol

Value

Unit

Description

L sys

1000

μm

Linear system size

Δtsim

1

min

Simulation time step

T sim

100

min

Total simulation time per run

N runs

10000

—

Number of runs per parameter set

D

6000

μm2/min

Diffusion constant of chemo-attractant

k

0.6

1/min

Decay rate of chemo-attractant (CA)

N tar

10

—

Initial number of target cells

r tar

10

μm

Radius of target cells

v tar

[0, 6]

μm/min

Speed of target cells, uniformly distributed

ε tar

[0, 1]

—

Persistence of target cells, uniformly distributed

N imm

1

—

Number of immune cells

r imm

10

μm

Radius of immune cell

v N

[0, 6]

μm/min

Speed of immune cell in normal mode

v A

[0, 6]

μm/min

Speed of immune cell in approach mode

ε N

[0, 1]

—

Persistence of immune cell in normal mode

ε A

[0, 1]

—

Persistence of immune cell in approach mode

c A0

[−5, 5]

—

Bias of immune cell for approach mode

c A1

[−500, 500]

—

Sensitivity of immune cell for temporal CA differences

c R1

[−500, 500]

—

Sensitivity of immune cell for spatial CA differences

  1. Throughout this paper, we implicitly assume that all fixed parameters are set according to this table.