Title of article :
GENETIC AND TABU SEARCH ALGORITHMS FOR PEPTIDE ASSEMBLY PROBLEM
Author/Authors :
Jacek Blazewicz، نويسنده , , MARCIN BOROWSKI، نويسنده , , PlOTR FORMANOWICZ AND TOMASZ GlOWACKI، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2010
Abstract :
Determining amino acid sequences of protein molecules is one of the most important issues in molecular biology These sequences determine protein structure and functionality. Unfortunately, direct biochemical methods for reading amino acid sequences can be used for reading short sequences only. This is the reason, which makes peptide assembly algorithms an important complement of these methods. In this paper, a genetic algorithm solving the problem of short amino acid sequence assembly is presented. The algorithm has been tested in computational experiment and compared with an existing tabu search method for the same problem. The results clearly show that the genetic algorithm outperformed the tabu search approach.
Keywords :
peptide sequencing , Tabu search algorithm , Combinatorial optimization problem , Genetic algorithm
Journal title :
RAIRO - Operations Research
Journal title :
RAIRO - Operations Research