Digital coding for amino acid based on cellular automata

• Published in: 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583) Vol. 5; pp. 4593 - 4598 vol.5
• Main Authors: Xuan Xiao, Shihuang Shao, Yongsheng Ding, Xiaojing Chen
• Format: Conference Proceeding
• Language: English
• Published: Piscataway NJ IEEE 2004
• Subjects: Amino acids; Applied sciences; Bioinformatics; Biological information theory; Biology computing; Computer networks; Computer science; control theory; systems; Control theory. Systems; Exact sciences and technology; Genetics; Power system modeling; Protein engineering; Sequences; Signal analysis; Software; Software engineering; Similarity; Information system; Similarity solution; Modeling; Physical properties; Protein; Binary sequence; Cellular automaton; Phenotype; Aspect oriented; Genetic algorithm; DNA; Distributed control; Signal processing; Genetics; Set theory; Signal analysis; Bioinformatics; Information theory
• ISBN: 0780385667; 9780780385665
• ISSN: 1062-922X; 2577-1655
• DOI: 10.1109/ICSMC.2004.1401256

With the development of bioinformatics, it is a valuable subject to study the biological sequence on the protein aspect with the computer based on the threshold of encoding 20 kinds of amino acids, because many biological phenotype characters, gene regulating control network are determined by amino acids sequence. It is feasible to analyze genetic signals in amino acid sequences because there are already a lot of mature information process systems. This work makes use of similarity rule, complementary rule, molecular recognition theory, and information theory to set up a model of digital coding for amino acids. The model reflects better amino acid chemical physical properties and degeneracy. It transforms the symbolic DNA sequences into digital genetic signals of amino acids and offers the possibility to utilize cellular automata. Correspondingly, it opens the possibility to apply a whole range of powerful signal processing methods for analysis of amino acids.