{"database":"BioModels","file_versions":[{"headers":{"Content-Type":["application/json"]},"body":{"files":{"Txt":["https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000764?filename=curation_notes.txt"],"Owl":["https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000764?filename=Malinzi2019-biopax3.owl","https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000764?filename=Malinzi2019-biopax2.owl"],"Xml":["https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000764?filename=manifest.xml","https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000764?filename=Malinzi2019.xml"],"Other":["https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000764?filename=curation_image.png","https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000764?filename=metadata.rdf","https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000764?filename=Malinzi2019-matlab.m","https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000764?filename=Malinzi2019.ode","https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000764?filename=Malinzi2019.sedml","https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000764?filename=Malinzi2019.cps","https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000764?filename=Malinzi2019-octave.m"]},"type":"primary"},"statusCode":"OK","statusCodeValue":200}],"scores":null,"additional":{"submitter":["Jinghao Men"],"curationStatus":["Manually curated"],"modellingApproach":["ordinary differential equation model"],"levelVersion":["L3V1"],"submitter_keywords":["Immuno-oncology"],"full_dataset_link":["https://www.ebi.ac.uk/biomodels/BIOMD0000000764"],"publication_pubmed":["30984283"],"isPrivate":["false"],"repository":["BioModels"],"omics_type":["Models"],"modelFormat":["SBML"],"tokenised_name":["Malinzi2019   chemovirotherapy"],"publication_year":["2019"],"submissionId":["MODEL1907260017"],"first_author":["Malinzi J"],"publication_authors":["Malinzi J"],"publication":["30984283,\n                            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.. null, 2019.\n                            Department of Mathematics, University of Eswatini, Private Bag 4, Kwaluseni, Eswatini."],"submitter_mail":["jm2187@cam.ac.uk"],"submitter_affiliation":["University of Cambridge"],"publicationId":["BIOMD0000000764"],"pubmed_abstract":["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."],"pubmed_title":["Mathematical Analysis of a Mathematical Model of Chemovirotherapy: Effect of Drug Infusion Method."],"pubmed_authors":["Malinzi Joseph J"],"additional_accession":[]},"is_claimable":false,"name":"Malinzi2019 - chemovirotherapy","description":"The paper describes a model of oncolytic virothherapy. \nCreated by COPASI 4.25 (Build 207) \n\nThis model is described in the article: Mathematical Analysis of a Mathematical Model of Chemovirotherapy: Effect of Drug Infusion Method \nJoseph Malinzi \nComputational and Mathematical Methods in Medicine Volume 2019, Article ID 7576591, 16 pages \n\nAbstract: \nIA 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.\n\nTo cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . \nTo the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. \nPlease refer to CC0 Public Domain Dedication for more information.","dates":{"last_modification":"2024-08-22","publication":"2024-09-02","submission":"2019-07-26"},"accession":"BIOMD0000000764","cross_references":{"sbo":["SBO:0000179","SBO:0000393","SBO:0000610","SBO:0000381"],"pubmed":["30984283"],"ncit":["C94498","C717","C25636","C62713","C128320","C75947"],"biomodels__db":["BIOMD0000000764","MODEL1907260017"],"go":["GO:0008283","GO:0008219","GO:0019079"],"cl":["CL:0001064"],"taxonomy":["9606"]}}