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A System Biology-Based Approach for Designing Combination Therapy in Cancer Precision Medicine
Author
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-21, 21 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-26
Country of Publication
Egypt
No. of Pages
21
Main Subjects
Abstract EN
In this paper, we have used an agent-based stochastic tumor growth model and presented a mathematical and theoretical perspective to cancer therapy.
This perspective can be used to theoretical study of precision medicine and combination therapy in individuals.
We have conducted a series of in silico combination therapy experiments.
Based on cancer drugs and new findings of cancer biology, we hypothesize relationships between model parameters which in some cases represent individual genome characteristics and cancer drugs, i.e., in our approach, therapy players are delegated by biologically reasonable parameters.
In silico experiments showed that combined therapies are more effective when players affect tumor via different mechanisms and have different physical dimensions.
This research presents for the first time an algorithm as a theoretical viewpoint for the prediction of effectiveness and classification of therapy sets.
American Psychological Association (APA)
Sabzpoushan, S. H.. 2020. A System Biology-Based Approach for Designing Combination Therapy in Cancer Precision Medicine. BioMed Research International،Vol. 2020, no. 2020, pp.1-21.
https://search.emarefa.net/detail/BIM-1134431
Modern Language Association (MLA)
Sabzpoushan, S. H.. A System Biology-Based Approach for Designing Combination Therapy in Cancer Precision Medicine. BioMed Research International No. 2020 (2020), pp.1-21.
https://search.emarefa.net/detail/BIM-1134431
American Medical Association (AMA)
Sabzpoushan, S. H.. A System Biology-Based Approach for Designing Combination Therapy in Cancer Precision Medicine. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-21.
https://search.emarefa.net/detail/BIM-1134431
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1134431