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Showing 1 to 4 of 4 for “"RNA secondary structure prediction"”.
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RNA secondary structure prediction using hybrid methods
… work presents a novel two-stage framework for RNA secondary structure prediction, introducing deep learning models that address local substructure prediction and global structure assembly. Drawing insights from RNA folding kinetics, the stage-1 (S1) model proposes local substructures as …
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Review of algorithms for RNA secondary structure prediction with pseudoknots
Pseudoknots are structures that are formed from the base pairing of an RNA secondary loop structure with a complementary base which lies somewhere outside of the loop. The result is a structure, which plays a vital role in cell structure rigidity, regulation of protein synthesis, and in the …
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RNA secondary structure detection programs with an emphasis on covariance models
RNA secondary structure prediction requires a different approach from traditional alignment methods. Functional RNAs often have their secondary structure better conserved than their primary structure. Covariance models, probabilistic models that utilize stochastic-context-free grammars, are one …
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Identification of evolutionarily conserved nucleic acid secondary structures within viral genomes
… nucleotide sequences such as certain DNA and RNA virus genomes form complex secondary structures through Watson-Crick base-pairing interactions between bases on the same DNA or RNA strand. Both computational and experimental methods are available for determining the secondary structure …