Malinzi2019 - chemovirotherapy

  public model
Model Identifier
BIOMD0000000764
Short description
The paper describes a model of oncolytic virothherapy. Created by COPASI 4.25 (Build 207) This model is described in the article: Mathematical Analysis of a Mathematical Model of Chemovirotherapy: Effect of Drug Infusion Method Joseph Malinzi Computational and Mathematical Methods in Medicine Volume 2019, Article ID 7576591, 16 pages Abstract: IA mathematical model for the treatment of cancer using chemovirotherapy is developed with the aim of determining the efficacy of three drug infusion methods: constant, single bolus, and periodic treatments. The model is in the form of ODEs and is further extended into DDEs to account for delays as a result of the infection of tumor cells by the virus and chemotherapeutic drug responses. Analysis of the model is carried out for each of the three drug infusion methods. Analytic solutions are determined where possible and stability analysis of both steady state solutions for the ODEs and DDEs is presented. The results indicate that constant and periodic drug infusion methods are more efficient compared to a single bolus injection. Numerical simulations show that with a large virus burst size, irrespective of the drug infusion method, chemovirotherapy is highly effective compared to either treatments. The simulations further show that both delays increase the period within which a tumor can be cleared from body tissue. 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
  • Mathematical Analysis of a Mathematical Model of Chemovirotherapy: Effect of Drug Infusion Method.
  • Malinzi J
  • Computational and mathematical methods in medicine , 1/ 2019 , Volume 2019 , pages: 7576591 , PubMed ID: 30984283
  • Department of Mathematics, University of Eswatini, Private Bag 4, Kwaluseni, Eswatini.
  • A mathematical model for the treatment of cancer using chemovirotherapy is developed with the aim of determining the efficacy of three drug infusion methods: constant, single bolus, and periodic treatments. The model is in the form of ODEs and is further extended into DDEs to account for delays as a result of the infection of tumor cells by the virus and chemotherapeutic drug responses. Analysis of the model is carried out for each of the three drug infusion methods. Analytic solutions are determined where possible and stability analysis of both steady state solutions for the ODEs and DDEs is presented. The results indicate that constant and periodic drug infusion methods are more efficient compared to a single bolus injection. Numerical simulations show that with a large virus burst size, irrespective of the drug infusion method, chemovirotherapy is highly effective compared to either treatments. The simulations further show that both delays increase the period within which a tumor can be cleared from body tissue.
Contributors
Submitter of the first revision: Jinghao Men
Submitter of this revision: Jinghao Men
Modellers: Jinghao Men

Metadata information

is (2 statements)
BioModels Database BIOMD0000000764
BioModels Database MODEL1907260017

isDescribedBy (1 statement)
PubMed 30984283

hasTaxon (1 statement)
Taxonomy Homo sapiens

hasProperty (2 statements)
Mathematical Modelling Ontology Ordinary differential equation model
NCIt Oncolytic Virus Therapy


Curation status
Curated



Connected external resources

SBGN view in Newt Editor

Name Description Size Actions

Model files

Malinzi2019.xml SBML L3V1 representation of cancer chemovirotherapy model 65.41 KB Preview | Download

Additional files

Malinzi2019.cps CPS file of the model in COPASI 78.36 KB Preview | Download
Malinzi2019.sedml Auto-generated SEDML file 2.11 KB Preview | Download

  • Model originally submitted by : Jinghao Men
  • Submitted: Jul 26, 2019 4:51:50 PM
  • Last Modified: Jul 26, 2019 4:51:50 PM
Revisions
  • Version: 3 public model Download this version
    • Submitted on: Jul 26, 2019 4:51:50 PM
    • Submitted by: Jinghao Men
    • With comment: Automatically added model identifier BIOMD0000000764
Legends
: Variable used inside SBML models


Species
Species Initial Concentration/Amount
U

malignant cell
1.0 mmol
I

malignant cell
0.0 mmol
C 0.1 mmol
V

Oncolytic Virus
0.1 mmol
Reactions
Reactions Rate Parameters
=> U; I tme*alph*U*((1-U)-I) alph = 0.402737047898338 1
I => ; C tme*d1*C*I d1 = 0.00117302052785924 1
U + V => I tme*bet*U*V bet = 1955.03421309873 1
=> C tme*k k = 97.7517106549365 1
U => ; C tme*d0*C*U d0 = 9.77517106549365E-4 1
=> V; I tme*b*I b = 2.0 1
V => tme*y*V y = 0.00195503421309873 1
C => tme*p*C p = 8.13294232649072 1
Curator's comment:
(added: 26 Jul 2019, 16:51:36, updated: 26 Jul 2019, 16:51:36)
Publication figure 3 reproduced similar to literature. Figure data is generated using COPASI 4.25 (build 197).