Automated learning of a detector for the cores of a-helices in protein sequences via genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{Handley:1994:alAHGP,

• author = "S. Handley",
• title = "Automated learning of a detector for the cores of a-helices in protein sequences via genetic programming",
• booktitle = "Proceedings of the 1994 IEEE World Congress on Computational Intelligence",
• year = "1994",
• volume = "1",
• pages = "474--479",
• address = "Orlando, Florida, USA",
• month = "27-29 " # jun,
• publisher = "IEEE Press",
• broken = "http://www-leland.stanford.edu/~shandley/postscript/helix_segments_paper.ps.gz",
• DOI = "doi:10.1109/ICEC.1994.349904",
• keywords = "genetic algorithms, genetic programming",
• size = "6 pages",
• abstract = "I used Koza's genetic programming to evolve programs that classified contiguous regions of proteins as being a-helix cores or not. I snipped positive and negative examples of a-helix core regions out of a set of 90 proteins. These proteins were chosen from the Brookhaven Protein Data Bank to be non-homologous. The fitness of the programs was defined as the correlation coefficient between the observed and the predicted a-helicity of the above regions. The fittest program produced by the genetic programming system that predicted the training set at least as well as the testing set had a correlation of 0.4818 between the observed classifications and the classifications predicted by the program (on the proteins in the testing set).",

}

Genetic Programming entries for Simon G Handley

Citations