Improved Approximation Algorithms for Predicting RNA Secondary Structures with Arbitrary Pseudoknots

  • Authors:
  • Minghui Jiang

  • Affiliations:
  • Department of Computer Science, Utah State University, Logan, Utah 84322-4205, USA

  • Venue:
  • AAIM '07 Proceedings of the 3rd international conference on Algorithmic Aspects in Information and Management
  • Year:
  • 2007

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Abstract

We study three closely related problems motivated by the prediction of RNA secondary structures with arbitrary pseudoknots: the Maximum Base Pair Stackingsproblem proposed by Ieong et al. [19] , the Maximum Stacking Base Pairsproblem proposed by Lyngsø [22], and the 2-Interval Patternproblem proposed by Vialette [36] . For Maximum Base Pair Stackingsand Maximum Stacking Base Pairs, we present improved approximation algorithms that can incorporate covariance information from comparative analysis as explicit input of candidate base pairs. For 2-Interval Pattern, we present improved approximation algorithms on unitary and near-unitary input, and propose a new variant called Length-Weighted Balanced 2-Interval Pattern, which is natural in the nearest-neighbor energy model that emphasizes base pair stacking.