DocumentCode :
573568
Title :
Protein structure prediction using bio-inspired algorithm: A review
Author :
Karami, Yasaman ; Khakzad, Hamed ; Arab, Shahriar ; Fathy, Mahmood ; Shirazi, Hossein
Author_Institution :
Comput. Eng. Dept., Iran Univ. of Sci. & Technol., Tehran, Iran
fYear :
2012
fDate :
2-3 May 2012
Firstpage :
201
Lastpage :
206
Abstract :
One of the main problems in Bioinformatics is the prediction of protein tertiary structure from its amino acid sequence. This problem is computationally complex and belongs to the NP-hard class. Although these years many algorithms and methods have been introduced, this problem is still an open area for research. In this paper we discuss the most important algorithms like evolutionary algorithms, particle swarm or ant colony optimization and computational methods introduced in this field and their challenges.
Keywords :
ant colony optimisation; bioinformatics; computational complexity; evolutionary computation; particle swarm optimisation; proteins; NP-hard problem; PSP problem; amino acid sequence; ant colony optimization; bio-inspired algorithm; bioinformatics; computational methods; evolutionary algorithms; particle swarm optimization; protein tertiary structure prediction; Amino acids; Computational modeling; Genetic algorithms; Lattices; Mathematical model; Prediction algorithms; Proteins; bio-computing; bio-inspired algorithm; evolutionary algorithm; protein tertiary structure prediction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Signal Processing (AISP), 2012 16th CSI International Symposium on
Conference_Location :
Shiraz, Fars
Print_ISBN :
978-1-4673-1478-7
Type :
conf
DOI :
10.1109/AISP.2012.6313744
Filename :
6313744
Link To Document :
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