Years and Authors of Summarized Original Work
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2006; Ogurtsov, Shabalina, Kondrashov, Roytberg
Problem Definition
This problem is concerned with predicting the set of base pairs formed in the native structure of an RNA molecule. The main motivation stems from structure being crucial for function and the growing appreciation of the importance of RNA molecules in biological processes. Base pairing is the single most important factor determining structure formation. Knowledge of the secondary structure alone also provides information about stretches of unpaired bases that are likely candidates for active sites. Early work [7] focused on finding structures maximizing the number of base pairs. With the work of Zuker and Stiegler [17], focus shifted to energy minimization in a model approximating the Gibbs free energy of structures.
Notation
Let s ∈ { A, C, G, U}∗ denote the sequence of bases of an RNA molecule. Use X ⋅ Y where X, Y ∈ { A, C, G, U} to denote a base pair between bases of type X...
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Dowell R, Eddy SR (2004) Evaluation of several lightweight stochastic context-free grammars for RNA secondary structure prediction. BMC Bioinform 5:71
Gardner PP, Giegerich R (2004) A comprehensive comparison of comparative RNA structure prediction approaches. BMC Bioinform 30:140
Hofacker IL, Stadler PF (2006) Memory efficient folding algorithms for circular RNA secondary structures. Bioinformatics 22:1172–1176
Jacobson H, Stockmayer WH (1950) Intramolecular reaction in polycondensations. I. The theory of linear systems. J Chem Phys 18:1600–1606
Lyngsø RB, Zuker M, Pedersen CNS (1999) Fast evaluation of internal loops in RNA secondary structure prediction. Bioinformatics 15:440–445
Mathews DH, Sabina J, Zuker M, Turner DH (1999) Expanded sequence dependence of thermodynamic parameters improves prediction of RNA secondary structure. J Mol Biol 288:911–940
Nussinov R, Jacobson AB (1980) Fast algorithm for predicting the secondary structure of single-stranded RNA. Proc Natl Acad Sci USA 77:6309–6313
Ogurtsov AY, Shabalina SA, Kondrashov AS, Roytberg MA (2006) Analysis of internal loops within the RNA secondary structure in almost quadratic time. Bioinformatics 22:1317–1324
Rivas E, Eddy SR (2000) Secondary structure alone is generally not statistically significant for the detection of noncoding RNAs. Bioinformatics 16:583–605
Tinoco I, Borer PN, Dengler B, Levine MD, Uhlenbeck OC, Crothers DM, Gralla J (1973) Improved estimation of secondary structure in ribonucleic acids. Nat New Biol 246:40–41
Tinoco I, Uhlenbeck OC, Levine MD (1971) Estimation of secondary structure in ribonucleic acids. Nature 230:362–367
Washietl S, Hofacker IL, Stadler PF (2005) Fast and reliable prediction of noncoding RNA. Proc Natl Acad Sci USA 102:2454–2459
Waterman MS, Smith TF (1986) Rapid dynamic programming methods for RNA secondary structure. Adv Appl Math 7:455–464
Workman C, Krogh A (1999) No evidence that mRNAs have lower folding free energies than random sequences with the same dinucleotide distribution. Nucleic Acids Res 27:4816–4822
Zuker M (1989) On finding all suboptimal foldings of an RNA molecule. Science 244:48–52
Zuker M (2000) Calculating nucleic acid secondary structure. Curr Opin Struct Biol 10:303–310
Zuker M, Stiegler P (1981) Optimal computer folding of large RNA sequences using thermodynamics and auxiliary information. Nucleic Acids Res 9:133–148
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Lyngsø, R.B. (2016). RNA Secondary Structure Prediction by Minimum Free Energy. In: Kao, MY. (eds) Encyclopedia of Algorithms. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2864-4_347
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