DocumentCode :
1765489
Title :
The Application of Finite State Machine in Modeling and Control of Gene Mutation Process
Author :
Rui Gao ; Wensong Hu ; Tzyh-Jong Tarn
Author_Institution :
Sch. of Control Sci. & Eng., Shandong Univ., Ji´nan, China
Volume :
12
Issue :
4
fYear :
2013
fDate :
Dec. 2013
Firstpage :
265
Lastpage :
274
Abstract :
This paper extends our previous study on discrete events system formulations of DNA hybridization, and focuses discussions on metabolism and gene mutation in molecular biology. Finite state machine (FSM) theory is extensively applied to represent key concepts and analyzes the processes related to the biological phenomena mentioned above. The goal is to mathematically represent and interpret the process of gene mutation and the effects on structures of protein macro molecule caused by gene mutation. We hope the proposed model will provide a foothold for introducing the information science and the control theory tools in molecular biology.
Keywords :
DNA; biochemistry; finite state machines; genetics; genomics; mathematical analysis; molecular biophysics; molecular configurations; proteins; DNA hybridization; biological phenomena; discrete event system formulations; finite state machine theory; gene mutation process; mathematical interpretation; mathematical representation; metabolism; molecular biology; protein macromolecule structures; Biological system modeling; DNA; Hidden Markov models; Proteins; Finite state machine; gene mutation; mathematical formulation; metabolism; molecular biology;
fLanguage :
English
Journal_Title :
NanoBioscience, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1241
Type :
jour
DOI :
10.1109/TNB.2013.2260866
Filename :
6530692
Link To Document :
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