Approximation algorithms for the maximum multiple RNA interaction problem

Weitian Tong, Randy Goebel, Tian Liu, Guohui Lin

Research output: Contribution to book or proceedingConference articlepeer-review

6 Scopus citations

Abstract

RNA interactions are fundamental in many cellular processes, which can involve two or more RNA molecules. 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
Title of host publicationCombinatorial Optimization and Applications - 7th International Conference, COCOA 2013, Proceedings
Pages49-59
Number of pages11
DOIs
StatePublished - 2013
Event7th International Conference on Combinatorial Optimization and Applications, COCOA 2013 - Chengdu, China
Duration: Dec 12 2013Dec 14 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8287 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Combinatorial Optimization and Applications, COCOA 2013
Country/TerritoryChina
CityChengdu
Period12/12/1312/14/13

Keywords

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

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