Title
Aligning multiple protein sequences by hybrid clonal selection algorithm with insert-remove-gaps and blockshuffling operators
Abstract
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.
Year
DOI
Venue
2006
10.1007/11823940_25
ICARIS
Keywords
Field
DocType
blockshuffling operator,dna alignment,sp score,hybrid clonal selection algorithm,multiple sequence alignment,proposed algorithm,biological sequence analysis,balibase library,classical weighted sum,multiple protein sequence,candidate alignment,balibase v,objective function,bioinformatics,sequence analysis,protein sequence
Sequence alignment,Population,Computer science,Algorithm,Operator (computer programming),Artificial intelligence,Genetics,Multiple sequence alignment,Clonal selection algorithm,Clonal selection,Machine learning,Sequence analysis
Conference
Volume
ISSN
ISBN
4163
0302-9743
3-540-37749-2
Citations 
PageRank 
References 
3
0.52
18
Authors
5
Name
Order
Citations
PageRank
vincenzo cutello155357.63
Doheon Lee21144113.05
Giuseppe Nicosia347946.53
M. Pavone4252.89
I. Prizzi530.52