Agent-Based Model of Cell Signaling in Cancer

被引：1
作者：
Derbal, Youcef [1 ]
机构：
[1] Ryerson Univ, Ted Rogers Sch Informat Technol Management, Toronto, ON, Canada
来源：
2020 IEEE CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (CCECE) | 2020年
关键词：
Agent-based Modeling; Cell Signaling Circuit; Cancer; MATHEMATICAL-MODELS;
D O I：
10.1109/ccece47787.2020.9255675
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Cancer is a genetic disease whose growth and proliferation is driven by the dysregulation of cell signaling and an aberrant metabolism. A better understanding of signaling dysregulation dynamics in cancer cells would inform the development of more effective therapies. In this respect, an agent-based model of cellular pathways is developed to study the dynamics of the cell signaling circuit in closed loop with cell metabolism. The model focuses on signaling pathways that involve frequently altered cancer genes. This would support explorations of therapeutic strategies aimed at derailing cancer proliferation through disruptions of major oncogenic pathways.
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