Models

Dataset Information

0

Gallaher2018 - Tumor–Immune dynamics in multiple myeloma


ABSTRACT: 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: Methods for determining key components in a mathematical model for tumor–immune dynamics in multiple myeloma Jill Gallaher, Kamila Larripa, Marissa Renardy, Blerta Shtylla, Nessy Tania, Diana White, Karen Wood, Li Zhu, Chaitali Passey, Michael Robbins, Natalie Bezman, Suresh Shelat, Hearn Jay Choo, Helen Moore Journal of Theoretical Biology 458 (2018) 31–46 Abstract: In this work, we analyze a mathematical model we introduced previously for the dynamics of multiple myeloma and the immune system. We focus on four main aspects: (1) obtaining and justifying ranges and values for all parameters in the model; (2) determining a subset of parameters to which the model is most sensitive; (3) determining which parameters in this subset can be uniquely estimated given cer- tain types of data; and (4) exploring the model numerically. Using global sensitivity analysis techniques, we found that the model is most sensitive to certain growth, loss, and efficacy parameters. This anal- ysis provides the foundation for a future application of the model: prediction of optimal combination regimens in patients with multiple myeloma. This model is hosted on BioModels Database and identified by: MODEL1907050001 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.

SUBMITTER: Jinghao Men  

PROVIDER: BIOMD0000000743 | BioModels | 2019-07-09

REPOSITORIES: BioModels

altmetric image

Publications

Methods for determining key components in a mathematical model for tumor-immune dynamics in multiple myeloma.

Gallaher Jill J   Larripa Kamila K   Renardy Marissa M   Shtylla Blerta B   Tania Nessy N   White Diana D   Wood Karen K   Zhu Li L   Passey Chaitali C   Robbins Michael M   Bezman Natalie N   Shelat Suresh S   Jay Cho Hearn H   Moore Helen H  

Journal of theoretical biology 20180830


In this work, we analyze a mathematical model we introduced previously for the dynamics of multiple myeloma and the immune system. We focus on four main aspects: (1) obtaining and justifying ranges and values for all parameters in the model; (2) determining a subset of parameters to which the model is most sensitive; (3) determining which parameters in this subset can be uniquely estimated given certain types of data; and (4) exploring the model numerically. Using global sensitivity analysis tec  ...[more]

Similar Datasets

2020-12-16 | GSE163278 | GEO
2023-02-24 | E-MTAB-12615 | biostudies-arrayexpress
2023-02-23 | E-MTAB-12616 | biostudies-arrayexpress
2019-07-11 | BIOMD0000000748 | BioModels
2013-07-02 | E-GEOD-41928 | biostudies-arrayexpress
2013-07-02 | E-GEOD-41927 | biostudies-arrayexpress
2018-02-06 | GSE110180 | GEO
2012-03-27 | E-GEOD-36825 | biostudies-arrayexpress
2022-04-27 | MTBLS676 | MetaboLights
2012-06-12 | GSE29023 | GEO