Phan2017 - innate immune in oncolytic virotherapy

Model Identifier
BIOMD0000000748
Short description
The paper describes a model on the key components for tumor–immune dynamics in multiple myeloma.
Created by COPASI 4.25 (Build 207)
This model is described in the article:
The Role of the Innate Immune System in Oncolytic Virotherapy
Tuan Anh Phan and Jianjun Paul Tian
Computational and Mathematical Methods in Medicine (2017) 6587258
Abstract:
The complexity of the immune responses is a major challenge in current virotherapy. This study incorporates the innate immune response into our basic model for virotherapy and investigates how the innate immunity affects the outcome of virotherapy. The viral therapeutic dynamics is largely determined by the viral burst size, relative innate immune killing rate, and relative innate immunity decay rate. The innate immunity may complicate virotherapy in the way of creating more equilibria when the viral burst size is not too big, while the dynamics is similar to the system without innate immunity when the viral burst size is big.
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Format
SBML
(L3V1)
Related Publication
-
The Role of the Innate Immune System in Oncolytic Virotherapy.
- Phan TA, Tian JP
- Computational and mathematical methods in medicine , 1/ 2017 , Volume 2017 , pages: 6587258 , PubMed ID: 29379572
- Department of Mathematical Sciences, New Mexico State University, Las Cruces, NM 88001, USA.
- The complexity of the immune responses is a major challenge in current virotherapy. This study incorporates the innate immune response into our basic model for virotherapy and investigates how the innate immunity affects the outcome of virotherapy. The viral therapeutic dynamics is largely determined by the viral burst size, relative innate immune killing rate, and relative innate immunity decay rate. The innate immunity may complicate virotherapy in the way of creating more equilibria when the viral burst size is not too big, while the dynamics is similar to the system without innate immunity when the viral burst size is big.
Contributors
Submitter of the first revision: Jinghao Men
Submitter of this revision: Jinghao Men
Modellers: Jinghao Men
Submitter of this revision: Jinghao Men
Modellers: Jinghao Men
Metadata information
is (2 statements)
isDescribedBy (1 statement)
hasTaxon (1 statement)
hasProperty (1 statement)
isVersionOf (1 statement)
isDescribedBy (1 statement)
hasTaxon (1 statement)
hasProperty (1 statement)
isVersionOf (1 statement)
Curation status
Curated
Modelling approach(es)
Tags
Connected external resources
Name | Description | Size | Actions |
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Model files |
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Phan2017.xml | SBML L3V1 representation of oncolytic virotherapy model | 62.05 KB | Preview | Download |
Additional files |
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Fig.2'.png | Fig.2 immune cell count generated in the main model | 22.57 KB | Preview | Download |
Phan2017.cps | CPS file of the model in COPASI | 74.60 KB | Preview | Download |
Phan2017.sedml | Auto-generated SEDML file | 1.09 KB | Preview | Download |
- Model originally submitted by : Jinghao Men
- Submitted: Jul 11, 2019 9:42:29 AM
- Last Modified: Jul 11, 2019 9:42:29 AM
Revisions
Legends
: Variable used inside SBML models
: Variable used inside SBML models
Species
Species | Initial Concentration/Amount |
---|---|
x neoplastic cell |
0.99 mmol |
v Oncolytic Virus |
0.01 mmol |
z Effector Immune Cell |
0.01 mmol |
y neoplastic cell |
0.01 mmol |
Reactions
Reactions | Rate | Parameters |
---|---|---|
x => ; y | tumor_microenvironment*r*x*y | r = 0.36 1 |
x + v => y | tumor_microenvironment*a*x*v | a = 0.11 1 |
v => | tumor_microenvironment*e*v | e = 0.2 1 |
x => | tumor_microenvironment*r*x*x | r = 0.36 1 |
v => ; z | tumor_microenvironment*d*v*z | d = 0.16 1 |
=> z; y | tumor_microenvironment*m*y*z | m = 0.6 1 |
y => | tumor_microenvironment*y | [] |
z => | tumor_microenvironment*n*z | n = 0.036 1 |
Curator's comment:
(added: 11 Jul 2019, 09:42:05, updated: 11 Jul 2019, 09:42:05)
(added: 11 Jul 2019, 09:42:05, updated: 11 Jul 2019, 09:42:05)
Publication figure 2 reproduced as per literature. Other figures are reproduced with different sets of parameters. Figure data is generated using COPASI 4.25 (build 197).