TY - JOUR
T1 - Systems theoretic analysis of the central dogma of molecular biology
T2 - Some recent results
AU - Gao, Rui
AU - Yu, Juanyi
AU - Zhang, Mingjun
AU - Tarn, Tzyh Jong
AU - Li, Jr Shin
N1 - Funding Information:
Manuscript received July 16, 2008; revised August 15, 2009. First published January 29, 2010; current version published March 24, 2010. This work was supported by the China Postdoctoral Science Foundation under Grant 20090451314, by the Outstanding Young Scientists Incentive Funding of Shandong Province under Grant BS2009DX041, and by the Postdoctoral Creative Foundation of Shandong Province under Grant 200703085. Asterisk indicates corresponding author. *R. Gao is with the School of Control Science and Engineering, Shandong University, Jinan 250061, China (e-mail: gaorui@sdu.edu.cn).
Funding Information:
Dr. Li was the recipient of the National Science Foundation CAREER Award in 2007.
PY - 2010/3
Y1 - 2010/3
N2 - This paper extends our early study on a mathematical formulation of the central dogma of molecular biology, and focuses discussions on recent insights obtained by employing advanced systems theoretic analysis. The goal of this paper is to mathematically represent and interpret the genetic information flow at the molecular level, and explore the fundamental principle of molecular biology at the system level. Specifically, group theory was employed to interpret concepts and properties of gene mutation, and predict backbone torsion angle along the peptide chain. Finite state machine theory was extensively applied to interpret key concepts and analyze the processes related to DNA hybridization. Using the proposed model, we have transferred the character-based model in molecular biology to a sophisticated mathematical model for calculation and interpretation.
AB - This paper extends our early study on a mathematical formulation of the central dogma of molecular biology, and focuses discussions on recent insights obtained by employing advanced systems theoretic analysis. The goal of this paper is to mathematically represent and interpret the genetic information flow at the molecular level, and explore the fundamental principle of molecular biology at the system level. Specifically, group theory was employed to interpret concepts and properties of gene mutation, and predict backbone torsion angle along the peptide chain. Finite state machine theory was extensively applied to interpret key concepts and analyze the processes related to DNA hybridization. Using the proposed model, we have transferred the character-based model in molecular biology to a sophisticated mathematical model for calculation and interpretation.
KW - Finite state machine (FSM)
KW - Group theory
KW - Mathematical formulation
KW - Systems biology
KW - The central dogma of molecular biology
UR - http://www.scopus.com/inward/record.url?scp=77950548571&partnerID=8YFLogxK
U2 - 10.1109/TNB.2010.2041065
DO - 10.1109/TNB.2010.2041065
M3 - Article
C2 - 20123579
AN - SCOPUS:77950548571
SN - 1536-1241
VL - 9
SP - 59
EP - 70
JO - IEEE Transactions on Nanobioscience
JF - IEEE Transactions on Nanobioscience
IS - 1
M1 - 5401093
ER -