v1

∅ = x

v10

y2 = ∅

v11

y2 = ∅

v12

y3 = ∅

v13

y3 = ∅

v14

y3 = ∅

v15

∅ = z1

v16

z1 = ∅

v17

∅ = z2

v18

z2 = ∅

v19

∅ = z3

v2

x = ∅

v20

z3 = ∅

v21

∅ = w

v22

∅ = w

v23

∅ = w

v24

w = ∅

v3

x = y1

v4

x = y2

v5

x = y3

v6

y1 = ∅

v7

y1 = ∅

v8

y1 = ∅

v9

y2 = ∅

Global parameters

Trigger: time>2499

Delay: 0

Assignments:

  • y1 = 0.15
  • z1 = 0.00992693
  • w = 0.0215649

Note that constraints are not enforced in simulations. It remains the responsibility of the user to verify that simulation results satisfy these constraints.


Species:

Reactions:


Middle-click: pin/unpin nodes
Shift-click: pool/unpool species
Right-click: context menu

Apply alternate model layout to overlapping elements in current model:

log scales

y-axis min/max

x-axis min/max

Immunological transitions in response to antigenic mutation during viral infection.

  • Lindi M Wahl
  • B Bittner
  • MA Nowak
Int. Immunol. 2000; 12 (10): 1371-1380
Abstract
Antigenic variation is an important factor in viral persistence and disease progression. We analyze immunological changes which occur in response to antigenic mutation during chronic viral infection. Using an established model of viral and immune system dynamics, we determine which qualitative shifts in the immune response can be elicited by the appearance of a new mutant. We find that antigenic mutation can cause dramatic shifts in the magnitude and type of anti-viral immune response. For example, the appearance of a mutant can elicit a new immune response which recognizes the original viral strain. We also find that novel strains of the virus which replicate more slowly than existing viral strains are able to invade and survive, even when the immune system is capable of mounting an immune response against the mutant.
The model reproduces Fig 6 of the paper.