On the Complexity of Protein Similarity Search under mRNA Structure Constraints

  • Authors:
  • Rolf Backofen;N. S. Narayanaswamy;Firas Swidan

  • Affiliations:
  • -;-;-

  • Venue:
  • STACS '02 Proceedings of the 19th Annual Symposium on Theoretical Aspects of Computer Science
  • Year:
  • 2002

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Abstract

This paper addresses the complexity of a new problem associated with RNA secondary structure prediction. The issue is to identify an mRNA which has the secondary structure (=set of bonds) of a given mRNA, and the amino acid sequence it encodes has maximum similarity (defined below) to a given amino acid sequence. The problem is modeled as an optimization problem and a linear time algorithm is presented for the case when the given mRNA has a hairpin like secondary structure. Relevant extensions of this problem are shown to be NP-complete, and a factor 2 approximation algorithm is designed for the problem instances generated by the NP-completeness reduction.