Open Access

A Genetic Programming Method for the Identification of Signal Peptides and Prediction of Their Cleavage Sites

EURASIP Journal on Advances in Signal Processing20042004:153697

Received: 28 February 2003

Published: 21 January 2004


A novel approach to signal peptide identification is presented. We use an evolutionary algorithm for automatic evolution of classification programs, so-called programmatic motifs. The variant of evolutionary algorithm used is called genetic programming where a population of solution candidates in the form of full computer programs is evolved, based on training examples consisting of signal peptide sequences. The method is compared with a previous work using artificial neural network (ANN) approaches. Some advantages compared to ANNs are noted. The programmatic motif can perform computational tasks beyond that of feed-forward neural networks and has also other advantages such as readability. The best motif evolved was analyzed and shown to detect the h-region of the signal peptide. A powerful parallel computer cluster was used for the experiment.


signal peptidesgenetic programmingbioinformaticsprogrammatic motifartificial neural networkscleavage site

Authors’ Affiliations

Saida Medical AB
Department of Physical Resource Theory, Chalmers University of Technology


© Lennartsson and Nordin. 2004