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Aligning Multiple Protein Sequences by Hybrid Clonal Selection Algorithm with Insert-Remove-Gaps and BlockShuffling Operators

  • V. Cutello
  • D. Lee
  • G. Nicosia
  • M. Pavone
  • I. Prizzi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4163)

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.

Keywords

bioinformatics multiple sequence alignment protein sequences immune algorithms clonal selection algorithms hypermutation operator 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • V. Cutello
    • 1
  • D. Lee
    • 2
  • G. Nicosia
    • 1
  • M. Pavone
    • 2
  • I. Prizzi
    • 3
  1. 1.Department of Mathematics and Computer ScienceUniversity of CataniaCataniaItaly
  2. 2.IBM-KAIST Bio-Computing Research Center, Department of BioSystemsKAISTDaejeonRepublic of Korea
  3. 3.Diogenes Research CenterCataniaItaly

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