The prediction of the degree of exposure to solvent of amino acid residues via genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{handley:1994:solvent,

• author = "Simon G. Handley",
• title = "The prediction of the degree of exposure to solvent of amino acid residues via genetic programming",
• booktitle = "Second International Conference on Intelligent Systems for Molecular Biology",
• year = "1994",
• editor = "Russ Altman and Douglas Brutlag and Peter Karp and Richard Lathrop and David Searls",
• pages = "156--160",
• address = "Stanford University, Stanford, CA, USA",
• publisher = "AAAI Press",
• keywords = "genetic algorithms, genetic programming, bioinformatics",
• broken = "http://www-leland.stanford.edu/~shandley/postscript/pburied.ps.gz",
• URL = "http://www.aaai.org/Library/ISMB/ismb94contents.php",
• URL = "http://www.aaai.org/Library/ISMB/1994/ismb94-019.php",
• size = "5 pages",
• abstract = "In this paper I evolve programs that predict the degree of exposure to solvent (the buriedness) of amino acid residues given only the primary structure. I use genetic programming to evolve programs that take as input the primary structure and that output the buriedness of each residue. I trained these programs on a set of 82 proteins from the Brookhaven Protein Data Bank (PDB) and cross-validated them on a separate testing set of 40 proteins, also from the PDB. The best program evolved had a correlation of 0.434 between the predicted and observed buriednesses on the testing set.",
• notes = "ISBM-94",

}

Genetic Programming entries for Simon G Handley

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