Wang2016/1 - oncolytic efficacy of M1 virus-SNTM model

  public model
Model Identifier
BIOMD0000000780
Short description
The paper describes a model of oncolytic virotherapy. Created by COPASI 4.25 (Build 207) This model is described in the article: A mathematical model verifying potent oncolytic efficacy of M1 virus Zizi Wang, Zhiming Guo, Huaqin Peng Mathematical Biosciences 276 (2016) 19–27 Abstract: Motivated by the latest findings in a recent medical experiment [19] which identify a naturally occurring alphavirus (M1) as a novel selective killer targeting zinc-finger antiviral protein (ZAP)-deficient cancer cells, we propose a mathematical model to illustrate the growth of normal cells, tumor cells and the M1 virus with limited nutrient. In order to better understand biological mechanisms, we discuss two cases of the model: without competition and with competition. In the first part, the explicit threshold condi- tions for the persistence of normal cells (or tumor cells) is obtained accompanying with the biological explanations. The second part indicates that when competing with tumor cells, the normal cells will ex- tinct if M1 virus is ignored; Whereas, when M1 virus is considered, the growth trend of normal cells is similar to the one without competition. And by using uniformly strong repeller theorem, the minimum effective dosage of medication is explicitly found which is not reported in [19]. Furthermore, numerical simulations and corresponding biological interpretations are given to support our results. 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
  • A mathematical model verifying potent oncolytic efficacy of M1 virus.
  • Wang Z, Guo Z, Peng H
  • Mathematical biosciences , 6/ 2016 , Volume 276 , pages: 19-27 , PubMed ID: 26976483
  • School of Mathematics and Information Science, Guangzhou University, Guangzhou 510006, PR China; Key Laboratory of Mathematics and Interdisciplinary Science of Guangdong, Higher Education Institutes, Guangzhou University, Guangzhou 510006, PR China.
  • Motivated by the latest findings in a recent medical experiment [19] which identify a naturally occurring alphavirus (M1) as a novel selective killer targeting zinc-finger antiviral protein (ZAP)-deficient cancer cells, we propose a mathematical model to illustrate the growth of normal cells, tumor cells and the M1 virus with limited nutrient. In order to better understand biological mechanisms, we discuss two cases of the model: without competition and with competition. In the first part, the explicit threshold conditions for the persistence of normal cells (or tumor cells) is obtained accompanying with the biological explanations. The second part indicates that when competing with tumor cells, the normal cells will extinct if M1 virus is ignored; Whereas, when M1 virus is considered, the growth trend of normal cells is similar to the one without competition. And by using uniformly strong repeller theorem, the minimum effective dosage of medication is explicitly found which is not reported in [19]. Furthermore, numerical simulations and corresponding biological interpretations are given to support our results.
Contributors
Submitter of the first revision: Jinghao Men
Submitter of this revision: Jinghao Men
Modellers: Jinghao Men

Metadata information

is (2 statements)
BioModels Database MODEL1908060001
BioModels Database BIOMD0000000780

isDescribedBy (1 statement)
PubMed 26976483

hasTaxon (1 statement)
Taxonomy Homo sapiens

hasProperty (3 statements)

Curation status
Curated



Connected external resources

SBGN view in Newt Editor

Name Description Size Actions

Model files

Wang2016:1.xml SBML L2V4 representation of virotherapy SNTM model 59.49 KB Preview | Download

Additional files

Wang2016:1.cps CPS file of the model in COPASI 86.06 KB Preview | Download
Wang2016:1.sedml Auto-generated SEDML file 3.09 KB Preview | Download

  • Model originally submitted by : Jinghao Men
  • Submitted: Aug 6, 2019 4:21:27 PM
  • Last Modified: Aug 6, 2019 4:21:27 PM
Revisions
  • Version: 3 public model Download this version
    • Submitted on: Aug 6, 2019 4:21:27 PM
    • Submitted by: Jinghao Men
    • With comment: Automatically added model identifier BIOMD0000000780
Legends
: Variable used inside SBML models


Species
Species Initial Concentration/Amount
S

Nutrient
0.1 mmol
N

cell
0.2 mmol
T

malignant cell
0.1 mmol
M

Oncolytic Virus
0.0 mmol
Reactions
Reactions Rate Parameters
=> S tme*a a = 0.02 1
S => ; T tme*u2*S*T u2 = 0.4 1
=> N; S tme*r1*u1*S*N r1 = 0.8 1; u1 = 0.2 1
N => tme*(d+e1)*N d = 0.02 1; e1 = 0.01 1
=> T; S tme*r2*u2*S*T r2 = 0.8 1; u2 = 0.4 1
T => ; M tme*u3*T*M u3 = 0.1 1
=> M; T tme*r3*u3*T*M u3 = 0.1 1; r3 = 0.5 1
S => ; N tme*u1*S*N u1 = 0.2 1
T => tme*(d+e2)*T d = 0.02 1; e2 = 0.04 1
S => tme*d*S d = 0.02 1
Curator's comment:
(added: 06 Aug 2019, 16:21:17, updated: 06 Aug 2019, 16:21:17)
Publication figure 6-8 reproduced as per literature. Figure data is generated using COPASI 4.26 (build 213).