Approximating the maximum multiple RNA interaction problem

Weitian Tong, Randy Goebel, Tian Liu, Guohui Lin

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

RNA interactions are fundamental in many cellular processes, where two or more RNA molecules can be involved. Multiple RNA interactions are also believed to be much more complex than pairwise interactions. Recently, multiple RNA interaction prediction has been formulated as a maximization problem. Here we extensively examine this optimization problem under several biologically meaningful interaction models. We present a polynomial time algorithm for the problem when the order of interacting RNAs is known and pseudoknot interactions are allowed; for the general problem without an assumed RNA order, we prove the NP-hardness for both variants (allowing and disallowing pseudoknot interactions), and present a constant ratio approximation algorithm for each of them.

Original languageEnglish
Pages (from-to)63-70
Number of pages8
JournalTheoretical Computer Science
Volume556
Issue numberC
DOIs
StatePublished - 2014

Keywords

  • Acyclic 2-matching
  • Approximation algorithm
  • Maximum weight b-matching
  • RNA interaction
  • Worst case performance ratio

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