DocumentCode :
2596142
Title :
A New Channel Coding Algorithm Based on Phosphorylation/dephosphorylation-proteins and GTPases
Author :
Liu, Jian-Qin ; Sawai, Hidefumi
Author_Institution :
Kobe Adv. ICT Res. Center, Nat. Inst. of Inf. & Commun. Technol., Hyogo
fYear :
2006
fDate :
11-13 Dec. 2006
Firstpage :
1
Lastpage :
5
Abstract :
Although molecular signaling of phosphorylation/dephosphorylation-proteins and GTPases has been extensively studied in molecular biology, it is still an open problem as to how information be coded in these molecules for molecular communication. In this paper, we propose a new channel coding algorithm based on signaling pathways in cells, extending our previous work on source codes to channel codes. The time complexity of the encoding/decoding algorithm we proposed is O(Qtimesm+Ltimes(P+zeta)) where Q refers to the number of the elements in the set of information vectors, m refers to the length of GTPase codeword, L refers to the number of the GTPase groups, P is the number of phosphorylation/dephosphorylation-proteins, zeta refers to the number of GTPases that are embedded in X´-codeword. This result shows the algorithm is theoretically realistic because the encoding/decoding process in a linear order time complexity is efficient. This benefits the studies on engineered cell communication in terms of information theory
Keywords :
biology computing; cellular biophysics; channel coding; computational complexity; molecular biophysics; proteins; GTPases; channel coding; dephosphorylation-proteins; encoding-decoding process; information theory; molecular biology; molecular communication; molecular signaling; phosphorylation protein; time complexity; Biomembranes; Cells (biology); Channel coding; Communication systems; Communications technology; Decoding; Genetic communication; Information theory; Molecular communication; Signal processing; Molecular communication; biological computing; nano-scale biologically engineered systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bio-Inspired Models of Network, Information and Computing Systems, 2006. 1st
Conference_Location :
Madonna di Campiglio
Print_ISBN :
1-4244-0538-6
Electronic_ISBN :
1-4244-0539-4
Type :
conf
DOI :
10.1109/BIMNICS.2006.361812
Filename :
4205339
Link To Document :
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