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Aligning Multiple Protein Sequences by Hybrid Clonal Selection Algorithm with Insert-Remove-Gaps and BlockShuffling Operators
Author(s) -
Vincenzo Cutello,
Doheon Lee,
Giuseppe Nicosia,
Mario Pavone,
I. Prizzi
Publication year - 2006
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-37749-2
DOI - 10.1007/11823940_25
Subject(s) - insert (composites) , multiple sequence alignment , selection (genetic algorithm) , set (abstract data type) , computer science , sequence (biology) , population , sequence alignment , algorithm , function (biology) , focus (optics) , clonal selection algorithm , artificial intelligence , biology , engineering , genetics , peptide sequence , programming language , mechanical engineering , artificial immune system , demography , physics , optics , sociology , gene
Multiple sequence alignment (MSA) is one of the most important tasks in biological sequence analysis. This paper will primarily focus on on protein alignments, but most of the discussion and methodology also applies to DNA alignments. A novel hybrid clonal selection algorihm, called an aligner, is presented. It searches for a set of alignments amongst the population of candidate alignments by optimizing the classical weighted sum of pairs objective function. Benchmarks from BaliBASE library (v.1.0 and v.2.0) are used to validate the algorithm. Experimental results of BaliBASE v.1.0 benchmarks show that the proposed algorithm is superior to PRRP, ClustalX, SAGA, DIALIGN, PIMA, MULTIALIGN, and PILEUP8. On BaliBASE v.2.0 benchmarks the algorithm shows interesting results in terms of SP score with respect to established and leading methods, i.e. ClustalW, T-Coffee, MUSCLE, PRALINE, ProbCons, and Spem.

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