Title :
TA-PFP: A Transgenetic Algorithm to Solve the Protein Folding Problem
Author :
Almeida, Carolina P. ; Goncalves, Richard A. ; Goldbarg, Marco C. ; Goldbarg, Elizabeth F G ; Delgado, Myriam R.
Author_Institution :
UNICENTRO, Rio Grande
Abstract :
This work reports the application of a transgenetic algorithm to the protein folding problem in the 3D HP model, which is a particular instance of the string folding problem and is known to be NP-hard. The proposed algorithm uses two kinds of plasmids, two kinds of transposons, two information sources, adaptation of parameters and is hybridized with tabu search. The computational experiments consider seven instances of the Tortilla benchmark. The results are favorably comparable with that reported in the literature, attesting the efficiency of the methodology.
Keywords :
biology computing; computational complexity; genetic algorithms; proteins; search problems; 3D hydrophobic-polar model; NP-hard; Tortilla benchmark; plasmids; protein folding problem; string folding problem; tabu search; transgenetic algorithm; transposons; Amino acids; Biological cells; Biological system modeling; Biology computing; Chemical processes; Evolutionary computation; Intelligent systems; Lattices; Protein engineering; Vectors;
Conference_Titel :
Intelligent Systems Design and Applications, 2007. ISDA 2007. Seventh International Conference on
Conference_Location :
Rio de Janeiro
Print_ISBN :
978-0-7695-2976-9
DOI :
10.1109/ISDA.2007.131