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RNA Secondary Structure Thermodynamics

2012
Several different ways to predict RNA secondary structures have been suggested in the literature. Statistical methods, such as those that utilize stochastic context-free grammars (SCFGs), or approaches based on machine learning aim to predict the best representative structure for the underlying ensemble of possible conformations.
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RNA Secondary Structures

2006
The three-dimensional structures of nucleic acids, RNA, and DNA, are dominated by double-helical regions that are formed by canonical Watson–Crick and wobble (GU) base pairs, which collectively are referred to as the secondary structure of the molecule.
Ivo L. Hofacker   +2 more
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Protein Secondary Structure

2010
There are several methods available that can be used to gain information on secondary structure, apart from X-ray crystallography, which remains the ‘gold standard’.
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Secondary Structure Prediction

2003
The aim of secondary structure prediction is to locate all α-helices and β- strands within a protein. We view the problem of secondary structure prediction as a statistical pattern recognition problem. We particularly focus on the sta- tistical analysis of the problem data.
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The Secondary Structure

2010
In principle we could expect that X-ray diffraction provides a complete picture of any protein that can be crystallized, with the exact position of each atom. Indeed, models displayed in showcases give the impression that the protein structure is fully known and has been found ab initio.
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