Search Site
Advanced Search…
Models Home
Exposures
Documentation
Log in
You are here:
Home
/
Exposures
/
Wein, D'Amato, Perelson, 1998
/
Mathematical analysis of antiretroviral therapy aimed at HIV-1 eradication or maintenance of low viral loads
Info
Model Mathematics
Component based math viewer is available
Component: environment
Component: uninfected_CD4
d
d
time
T
=
s
+
lambda
T
1
-
T
+
T1_star
+
T2_star
Tmax
-
mu
T
-
k1
1
-
r1
T
V1_I
-
k2
1
-
r2
T
V2_I
Component: uninfected_long_lived_cells
d
d
time
M
=
lambda_M
-
mu_M
M
-
k1_M
1
-
r1
M
V1_I
-
k2_M
1
-
r2
M
V2_I
Component: productively_infected_CD4
d
d
time
T1_star
=
m11
k1
1
-
r1
T
V1_I
+
m21
k2
1
-
r2
T
V2_I
-
delta1
T1_star
d
d
time
T2_star
=
m22
k2
1
-
r2
T
V2_I
+
m12
k1
1
-
r1
T
V1_I
-
delta2
T2_star
Component: productively_infected_long_lived_cells
d
d
time
M1_star
=
m11
k1_M
1
-
r1
M
V1_I
+
m21
k2_M
1
-
r2
M
V2_I
-
delta1_M
M1_star
d
d
time
M2_star
=
m22
k2_M
1
-
r2
M
V2_I
+
m12
k1_M
1
-
r1
M
V1_I
-
delta2_M
M2_star
Component: virus_strain1
d
d
time
V1_I
=
1
-
p1
N1
delta1
T1_star
+
1
-
p1
N1_M
delta1_M
M1_star
-
c1
V1_I
d
d
time
V1
=
N1
delta1
T1_star
+
N1_M
delta1_M
M1_star
-
c1
V1
Component: virus_strain2
d
d
time
V2_I
=
1
-
p2
N2
delta2
T2_star
+
1
-
p2
N2_M
delta2_M
M2_star
-
c2
V2_I
d
d
time
V2
=
N2
delta2
T2_star
+
N2_M
delta2_M
M2_star
-
c2
V2
Component: drug_parameters
Source
Derived from workspace
Wein, D'Amato, Perelson 1998
at changeset
4704fb299937
.
Collaboration
To begin collaborating on this work, please use your git client and issue this command:
Downloads
Download This File
Complete Archive as .tgz
COMBINE Archive (exposure)
Views Available
Documentation
Model Metadata
Mathematics
Generated Code
Cite this model
Source View
Semantic Metadata
Launch with OpenCOR
Tools
CombineArchive Web
Compare...
Export Exposure Metadata
Report a problem with this resource
License
This work is licensed under a
Creative Commons Attribution 3.0 Unported License
.
Navigation
Mathematical analysis of antiretroviral therapy aimed at HIV-1 eradication or maintenance of low viral loads