Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/11008
Appears in Collections:Computing Science and Mathematics Book Chapters and Sections
Title: Evolving L-systems to capture protein structure native conformations
Authors: Escuela, Gabi
Ochoa, Gabriela
Krasnogor, Natalio
Contact Email: gabriela.ochoa@cs.stir.ac.uk
Editors: Keijzer, M
Tettamanzi, A
Collet, P
van, Hemert J
Tomassini, M
Citation: Escuela G, Ochoa G & Krasnogor N (2005) Evolving L-systems to capture protein structure native conformations. In: Keijzer M, Tettamanzi A, Collet P, van Hemert J, Tomassini M (ed.). Genetic Programming: 8th European Conference, EuroGP 2005, Lausanne, Switzerland, March 30-April 1, 2005, Proceedings. Lecture Notes in Computer Science, 3447, Berlin Heidelberg: Springer, pp. 74-84.
Issue Date: 2005
Publisher: Springer
Series/Report no.: Lecture Notes in Computer Science, 3447
Abstract: A protein is a linear chain of amino acids that folds into a unique functional structure, called its native state. In this state, proteins show repeated substructures like alpha helices and beta sheets. This suggests that native structures may be captured by the formalism known as Lindenmayer systems (L-systems). In this paper an evolutionary approach is used as the inference procedure for folded structures on simple lattice models. The algorithm searches the space of L-systems which are then executed to obtain the phenotype, thus our approach is close to Grammatical Evolution. The problem is to find a set of rewriting rules that represents a target native structure on the lattice model. The proposed approach has produced promising results for short sequences. 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.
Rights: The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.
Type: Part of book or chapter of book
URI: http://hdl.handle.net/1893/11008
URL: http://link.springer.com/chapter/10.1007%2F978-3-540-31989-4_7?LI=true#
Affiliation: Universidad Simon Bolivar
Computing Science - CSM Dept
University of Nottingham

Files in This Item:
File Description SizeFormat 
evolving l-systems.pdf255.82 kBAdobe PDFUnder Embargo until 31/12/2999     Request a copy

Note: If any of the files in this item are currently embargoed, you can request a copy directly from the author by clicking the padlock icon above. However, this facility is dependant on the depositor still being contactable at their original email address.

This item is protected by original copyright



Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.