RNA pseudoknot prediction in energy-based models.

RNA molecules are sequences of nucleotides that serve as more than mere intermediaries between DNA and proteins, e.g., as catalytic molecules. Computational prediction of RNA secondary structure is among the few structure prediction problems that can be solved satisfactorily in polynomial time. Most...

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Asıl Yazarlar: Lyngsø, R, Pedersen, C
Materyal Türü: Journal article
Dil:English
Baskı/Yayın Bilgisi: 2000
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author Lyngsø, R
Pedersen, C
author_facet Lyngsø, R
Pedersen, C
author_sort Lyngsø, R
collection OXFORD
description RNA molecules are sequences of nucleotides that serve as more than mere intermediaries between DNA and proteins, e.g., as catalytic molecules. Computational prediction of RNA secondary structure is among the few structure prediction problems that can be solved satisfactorily in polynomial time. Most work has been done to predict structures that do not contain pseudoknots. Allowing pseudoknots introduces modeling and computational problems. In this paper we consider the problem of predicting RNA secondary structures with pseudoknots based on free energy minimization. We first give a brief comparison of energy-based methods for predicting RNA secondary structures with pseudoknots. We then prove that the general problem of predicting RNA secondary structures containing pseudoknots is NP complete for a large class of reasonable models of pseudoknots.
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spelling oxford-uuid:41f5afae-ebff-4f7b-8839-9c5f8f5d5f972022-03-26T14:46:39ZRNA pseudoknot prediction in energy-based models.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:41f5afae-ebff-4f7b-8839-9c5f8f5d5f97EnglishSymplectic Elements at Oxford2000Lyngsø, RPedersen, CRNA molecules are sequences of nucleotides that serve as more than mere intermediaries between DNA and proteins, e.g., as catalytic molecules. Computational prediction of RNA secondary structure is among the few structure prediction problems that can be solved satisfactorily in polynomial time. Most work has been done to predict structures that do not contain pseudoknots. Allowing pseudoknots introduces modeling and computational problems. In this paper we consider the problem of predicting RNA secondary structures with pseudoknots based on free energy minimization. We first give a brief comparison of energy-based methods for predicting RNA secondary structures with pseudoknots. We then prove that the general problem of predicting RNA secondary structures containing pseudoknots is NP complete for a large class of reasonable models of pseudoknots.
spellingShingle Lyngsø, R
Pedersen, C
RNA pseudoknot prediction in energy-based models.
title RNA pseudoknot prediction in energy-based models.
title_full RNA pseudoknot prediction in energy-based models.
title_fullStr RNA pseudoknot prediction in energy-based models.
title_full_unstemmed RNA pseudoknot prediction in energy-based models.
title_short RNA pseudoknot prediction in energy-based models.
title_sort rna pseudoknot prediction in energy based models
work_keys_str_mv AT lyngsør rnapseudoknotpredictioninenergybasedmodels
AT pedersenc rnapseudoknotpredictioninenergybasedmodels