Open AccessImportance of Feedback and Feedforward Loops to Adaptive Immune Response Modeling
Author(s) -
Rahman Anisur,
Tiwari Abhinav,
Narula Jatin,
Hickling Timothy
Publication year - 2018
Publication title -
cpt: pharmacometrics and systems pharmacology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.53
H-Index - 37
ISSN - 2163-8306
DOI - 10.1002/psp4.12352
Subject(s) - feed forward , immune system , computer science , systems biology , control theory (sociology) , control engineering , biology , engineering , control (management) , computational biology , artificial intelligence , immunology
The human adaptive immune system is a very complex network of different types of cells, cytokines, and signaling molecules. This complex network makes it difficult to understand the system level regulations. To properly explain the immune system, it is necessary to explicitly investigate the presence of different feedback and feedforward loops (FFLs) and their crosstalks. Considering that these loops increase the complexity of the system, the mathematical modeling has been proved to be an important tool to explain such complex biological systems. This review focuses on these regulatory loops and discusses their importance on systems modeling of the immune system.