Evolving L-Systems to Capture Protein Structure Native Conformations
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{eurogp:EscuelaOK05,
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author = "Gabi Escuela and Gabriela Ochoa and
Natalio Krasnogor",
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editor = "Maarten Keijzer and Andrea Tettamanzi and
Pierre Collet and Jano I. {van Hemert} and Marco Tomassini",
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title = "Evolving L-Systems to Capture Protein Structure Native
Conformations",
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booktitle = "Proceedings of the 8th European Conference on Genetic
Programming",
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publisher = "Springer",
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series = "Lecture Notes in Computer Science",
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volume = "3447",
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year = "2005",
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address = "Lausanne, Switzerland",
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month = "30 " # mar # " - 1 " # apr,
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organisation = "EvoNet",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "3-540-25436-6",
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pages = "74--84",
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URL = "http://www.cs.nott.ac.uk/~nxk/PAPERS/LsysPSP05.pdf",
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DOI = "doi:10.1007/978-3-540-31989-4_7",
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DOI = "doi:10.1007/b107383",
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bibsource = "DBLP, http://dblp.uni-trier.de",
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abstract = "A protein is a linear chain of amino acids, that under
certain physical conditions, folds into a unique
functional structure, called its native state or
tertiary structure. In this state, proteins show
repeated substructures like alpha helices and beta
sheets. This observation suggests that native
structures may be captured by the formalism known as
Lindenmayer systems (L-systems). In this paper an
evolutionary algorithm is used as the inference
procedure for folded structures under the HP model in
2D lattices. The EA searches in the space of possible
L-systems which are then executed to obtain the
phenotype, thus our approach is close to that of
Grammatical Evolution. The problem is to find a set of
rewriting rules that represents a target native
structure on the selected lattice model. The proposed
approach has produced promising results for short
sequences under the 2D square lattice. Thus the
foundations are set for a novel encoding based on
L-systems for evolutionary approaches to both the
Protein Structure Prediction and Inverse Folding
Problems.",
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notes = "Part of \cite{keijzer:2005:GP} EuroGP'2005 held in
conjunction with EvoCOP2005 and EvoWorkshops2005",
- }
Genetic Programming entries for
Gabi Escuela
Gabriela Ochoa
Natalio Krasnogor
Citations