Title :
A Galois Field Approach to Modelling Gene Expression Regulation
Author :
Aleem, H.A. ; Mavituna, F. ; Green, D.H.
Author_Institution :
Sch. of Chem. Eng. & Anal. Sci., Univ. of Manchester, Manchester
Abstract :
Gene expression is the process by which the cell transforms the information in the DNA to functions, often carried out by proteins. Which genes will be expressed, depends on many factors some internal to the cell and others from the environment around it. This can be considered as a logic function prescribing gene expression in response to the different conditions. Apart from continuous models, the most common formulation of such a function is using Boolean logic. This has the major drawback of restricting analysis to binary valued variable which are not always an appropriate approximation. We propose a multiple-valued logic modelling approach on a Galois field and formulate the regulatory function using the Reed-Muller expansion. Two examples are given that illustrate the application of this approach.
Keywords :
Boolean functions; DNA; Galois fields; cellular biophysics; genetics; multivalued logic; proteins; Boolean logic function; DNA; Galois field; Reed-Muller expansion; binary valued variable; gene expression regulation; multiple-valued logic modelling; proteins; Chemical analysis; Chemical engineering; DNA; Galois fields; Gene expression; Genetics; Logic; Organisms; Proteins; Switches; Galois Field; Gene Expression; Genetic Code; Reed-Muller Expansion;
Conference_Titel :
Multiple Valued Logic, 2008. ISMVL 2008. 38th International Symposium on
Conference_Location :
Dallas, TX
Print_ISBN :
978-0-7695-3155-7
DOI :
10.1109/ISMVL.2008.35