• DocumentCode
    477956
  • Title

    Searching Similar Protein under Complementary and No Stop Codon Constraints

  • Author

    Fei Wang ; Peng Zheng

  • Author_Institution
    Shanghai key Lab. of Intell. Inf. Process., Fudan Univ., Shanghai
  • Volume
    4
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    428
  • Lastpage
    432
  • Abstract
    The applications in the area of protein engineering motivate a problem, that is to compute an mRNA sequence of maximal similarity to a given mRNA and a given protein, the output mRNA sequence should have the same secondary structure as the given mRNA sequence and should not contain any stop codon. We call this problem as MRSO-SC (MRna structure optimization under no stop codon constraint). Besides, for one nucleotide at most binds with one other nucleotide in the secondary structure of an mRNA sequence, we call the restricted version of MRSO-SC problem as MRSO-SC-d1 problem. In this paper, we first prove that the decision version of MRSO-SC problem and MRSO-SC-d1 problem are both NP-complete. Then, based on some structural feature of stop codon, we propose four kinds of invalid frame, which may lead to stop codon. Whatpsilas more, we attack the MRSO-SC-d1problem by proposing a new approximation algorithm, in the process of this algorithm, any invalid frame could be avoided in finding feasible solution.
  • Keywords
    biology computing; computational complexity; macromolecules; optimisation; proteins; MRSO-SC-d1problem; MRna structure optimization under no stop codon constraint; NP-complete problem; maximal similarity; protein engineering; Amino acids; Approximation algorithms; Biological information theory; Constraint optimization; DNA; Laboratories; Partial response channels; Protein engineering; RNA; Sequences; NP-complete; approximation algorithm; mRNA secondary structure; similar protein; stop codon;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
  • Conference_Location
    Jinan Shandong
  • Print_ISBN
    978-0-7695-3305-6
  • Type

    conf

  • DOI
    10.1109/FSKD.2008.395
  • Filename
    4666423