Incorporating Knowledge of Secondary Structures in a L-System-Based Encoding for Protein Folding
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Ochoa:2005:EA,
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author = "Gabriela Ochoa and Gabi Escuela and
Natalio Krasnogor",
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title = "Incorporating Knowledge of Secondary Structures in a
L-System-Based Encoding for Protein Folding",
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booktitle = "7th International Conference on Artificial Evolution
EA 2005",
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year = "2005",
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editor = "El-Ghazali Talbi and Pierre Liardet and
Pierre Collet and Evelyne Lutton and Marc Schoenauer",
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volume = "3871",
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series = "Lecture Notes in Computer Science",
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pages = "247--258",
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address = "Lille, France",
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month = oct # " 26-28",
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publisher = "Springer",
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note = "Revised Selected Papers",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-540-33589-4",
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URL = "http://www.cs.stir.ac.uk/~goc/papers/LsysPFPEA05.pdf",
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DOI = "doi:10.1007/11740698_22",
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size = "12 pages",
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abstract = "An encoding scheme for protein folding on lattice
models, inspired by parametric L-systems, was proposed.
The encoding incorporates problem domain knowledge in
the form of predesigned production rules that capture
commonly known secondary structures: alpha-helices and
beta-sheets. The ability of this encoding to capture
protein native conformations was tested using an
evolutionary algorithm as the inference procedure for
discovering L-systems. Results confirmed the
suitability of the proposed representation. It appears
that the occurrence of motifs and sub-structures is an
important component in protein folding, and these
sub-structures may be captured by a grammar-based
encoding. This line of research suggests novel and
compact encoding schemes for protein folding that may
have practical implications in solving meaningful
problems in biotechnology such as structure prediction
and protein folding.",
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notes = "published 2006",
- }
Genetic Programming entries for
Gabriela Ochoa
Gabi Escuela
Natalio Krasnogor
Citations