Title :
DNA, proteins and compressibility
Author :
Alvager, Torsten ; Stuart, Gary ; Shotwell, Allen
Author_Institution :
Dept. of Phys., Indiana State Univ., Terre Haute, IN, USA
Abstract :
The possibility is considered that the average number of amino acids in proteins is influenced by the complexity of the corresponding DNA sequence. Complexity is regarded as a quantity related to the compressibility of a sequence. This makes a computation manageable using artificial neural network techniques. A neural network computation is performed on a section of several E. coli DNA coding sequences to illustrate the procedure
Keywords :
DNA; biology computing; data compression; neural nets; proteins; DNA coding; DNA sequence; amino acids; compressibility; neural network; proteins; Amino acids; Artificial neural networks; Biology computing; Computer networks; DNA; Educational institutions; Natural languages; Physics; Proteins; Sequences;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.836245