Results 321 to 330 of about 19,445,077 (386)
Some of the next articles are maybe not open access.
2015
A topological RNA structure is derived from a diagram, and its shape is obtained by collapsing the stacks of the structure into single arcs and by removing any arcs of length one. Shapes contain key topological information, and for a fixed topological genus there exist only finitely many such shapes.
Qijun He, Matthew Macauley, Robin Davies
+5 more sources
A topological RNA structure is derived from a diagram, and its shape is obtained by collapsing the stacks of the structure into single arcs and by removing any arcs of length one. Shapes contain key topological information, and for a fixed topological genus there exist only finitely many such shapes.
Qijun He, Matthew Macauley, Robin Davies
+5 more sources
Targeting DNA Secondary Structures
Current Medicinal Chemistry, 2000DNA secondary structures containing regions of single-stranded DNA have now been identified in the genomic DNA of a number of prokaryotic and eukaryotic species, including humans. Many of these secondary structures are associated with regions of DNA involved in regulation of transcription: promoters or upstream elements.
openaire +2 more sources
Protein Secondary Structure Prediction
2009While the prediction of a native protein structure from sequence continues to remain a challenging problem, over the past decades computational methods have become quite successful in exploiting the mechanisms behind secondary structure formation. The great effort expended in this area has resulted in the development of a vast number of secondary ...
Pirovano, W.A., Heringa, J.
openaire +3 more sources
RNA Secondary Structure Thermodynamics
2012Several 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.
openaire +2 more sources
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
openaire +1 more source
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
openaire +1 more source
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’.
openaire +1 more source
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’.
openaire +1 more source
Protein secondary structure prediction based on position-specific scoring matrices.
Journal of Molecular Biology, 1999David C. Jones
semanticscholar +1 more source
Comparison of the predicted and observed secondary structure of T4 phage lysozyme.
Biochimica et Biophysica Acta, 1975B. Matthews
semanticscholar +1 more source
Secondary Structure Prediction
2003The 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.
openaire +1 more source

