Phan2017 - innate immune in oncolytic virotherapy

  public model
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. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.
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

Metadata information

is (2 statements)
BioModels Database BIOMD0000000748
BioModels Database MODEL1907110001

isDescribedBy (1 statement)
PubMed 29379572

hasTaxon (1 statement)
Taxonomy Homo sapiens

hasProperty (1 statement)
Mathematical Modelling Ontology Ordinary differential equation model

isVersionOf (1 statement)

Curation status
Curated



Connected external resources

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Name Description Size Actions

Model files

Phan2017.xml SBML L3V1 representation of oncolytic virotherapy model 62.05 KB Preview | Download

Additional files

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
  • Version: 3 public model Download this version
    • Submitted on: Jul 11, 2019 9:42:29 AM
    • Submitted by: Jinghao Men
    • With comment: Automatically added model identifier BIOMD0000000748
Legends
: 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)
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).