Modeling and Analysis of Metabolism Process with Finite State Machine
Authors:
- 1 January 2012
- journal article
- Published by Trans Tech Publications, Ltd. in Advanced Materials Research
- Vol. 424-425, 250-254
Abstract
This paper extends our early 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 analyze the processes related to the biological phenomena mentioned above. The goal is to mathematically represent and interpret the process of metabolism and the effects to 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 BiologyKeywords
This publication has 13 references indexed in Scilit:
- A Mathematical Formulation of the Central Dogma of Molecular Biology2010
- HMM with protein structure grammar2002
- Hidden Markov modelsCurrent Opinion in Structural Biology, 1996
- Tree-based maximal likelihood substitution matrices and hidden Markov modelsJournal of Molecular Evolution, 1995
- Hidden Markov models of biological primary sequence information.Proceedings of the National Academy of Sciences, 1994
- Hidden Markov Models in Computational BiologyJournal of Molecular Biology, 1994
- Protein classification by stochastic modeling and optimal filtering of amino-acid sequencesMathematical Biosciences, 1994
- Stochastic models for heterogeneous DNA sequencesBulletin of Mathematical Biology, 1989
- Construction of multilocus genetic linkage maps in humans.Proceedings of the National Academy of Sciences, 1987
- Central Dogma of Molecular BiologyNature, 1970