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On nucleotide solvent accessibility in RNA structure. 2010

Yumlembam H Singh, and Munazah Andrabi, and Bratati Kahali, and Tapash Chandra Ghosh, and Kenji Mizuguchi, and Alex V Kochetov, and Shandar Ahmad
Bio-informatics Centre, North Eastern Hill University, Shillong-22, Meghalaya, India.

Sequence dependence of solvent accessibility in globular and membrane proteins is well established. However, this important structural property has been poorly investigated in nucleic acids. On the other hand investigation of structural determinants of transcriptional and post-transcriptional processes in gene expression are also in a primitive stage and there is a need to explore novel sequence and structural features of both DNA and RNA, which may explain both basic and regulatory mechanisms at various stages of expression. We have recently shown that the nucleotide accessibility in double-stranded DNA molecules strongly depends on sequence context and can be predicted using neighbor information. In this work, we investigate statistics, neighbor-dependence and predictability of nucleotide solvent accessibility for various types of RNA molecules (single-stranded, double-stranded, protein-unbound and protein-bound). It was found that average solvent accessibility of different RNA trinucleotides varies considerably. Interestingly, important translational signals (initiatory AUG codon, Shine-Dalgharno site) were characterized by high solvent accessibility that could be important for its selection in evolution. We also analyzed a relationship between nucleotide accessibility and synonymous codon usage bias in some genomes and find that the two properties are directly related. We believe that the analysis and prediction of nucleotide solvent accessibility opens new avenues to explore more biologically meaningful relationship between RNA structure and function.

UI MeSH Term Description Entries
D009711 Nucleotides The monomeric units from which DNA or RNA polymers are constructed. They consist of a purine or pyrimidine base, a pentose sugar, and a phosphate group. (From King & Stansfield, A Dictionary of Genetics, 4th ed) Nucleotide
D003062 Codon A set of three nucleotides in a protein coding sequence that specifies individual amino acids or a termination signal (CODON, TERMINATOR). Most codons are universal, but some organisms do not produce the transfer RNAs (RNA, TRANSFER) complementary to all codons. These codons are referred to as unassigned codons (CODONS, NONSENSE). Codon, Sense,Sense Codon,Codons,Codons, Sense,Sense Codons
D005544 Forecasting The prediction or projection of the nature of future problems or existing conditions based upon the extrapolation or interpretation of existing scientific data or by the application of scientific methodology. Futurology,Projections and Predictions,Future,Predictions and Projections
D001483 Base Sequence The sequence of PURINES and PYRIMIDINES in nucleic acids and polynucleotides. It is also called nucleotide sequence. DNA Sequence,Nucleotide Sequence,RNA Sequence,DNA Sequences,Base Sequences,Nucleotide Sequences,RNA Sequences,Sequence, Base,Sequence, DNA,Sequence, Nucleotide,Sequence, RNA,Sequences, Base,Sequences, DNA,Sequences, Nucleotide,Sequences, RNA
D012313 RNA A polynucleotide consisting essentially of chains with a repeating backbone of phosphate and ribose units to which nitrogenous bases are attached. RNA is unique among biological macromolecules in that it can encode genetic information, serve as an abundant structural component of cells, and also possesses catalytic activity. (Rieger et al., Glossary of Genetics: Classical and Molecular, 5th ed) RNA, Non-Polyadenylated,Ribonucleic Acid,Gene Products, RNA,Non-Polyadenylated RNA,Acid, Ribonucleic,Non Polyadenylated RNA,RNA Gene Products,RNA, Non Polyadenylated
D012997 Solvents Liquids that dissolve other substances (solutes), generally solids, without any change in chemical composition, as, water containing sugar. (Grant & Hackh's Chemical Dictionary, 5th ed) Solvent
D013329 Structure-Activity Relationship The relationship between the chemical structure of a compound and its biological or pharmacological activity. Compounds are often classed together because they have structural characteristics in common including shape, size, stereochemical arrangement, and distribution of functional groups. Relationship, Structure-Activity,Relationships, Structure-Activity,Structure Activity Relationship,Structure-Activity Relationships
D013499 Surface Properties Characteristics or attributes of the outer boundaries of objects, including molecules. Properties, Surface,Property, Surface,Surface Property
D016571 Neural Networks, Computer A computer architecture, implementable in either hardware or software, modeled after biological neural networks. Like the biological system in which the processing capability is a result of the interconnection strengths between arrays of nonlinear processing nodes, computerized neural networks, often called perceptrons or multilayer connectionist models, consist of neuron-like units. A homogeneous group of units makes up a layer. These networks are good at pattern recognition. They are adaptive, performing tasks by example, and thus are better for decision-making than are linear learning machines or cluster analysis. They do not require explicit programming. Computational Neural Networks,Connectionist Models,Models, Neural Network,Neural Network Models,Neural Networks (Computer),Perceptrons,Computational Neural Network,Computer Neural Network,Computer Neural Networks,Connectionist Model,Model, Connectionist,Model, Neural Network,Models, Connectionist,Network Model, Neural,Network Models, Neural,Network, Computational Neural,Network, Computer Neural,Network, Neural (Computer),Networks, Computational Neural,Networks, Computer Neural,Networks, Neural (Computer),Neural Network (Computer),Neural Network Model,Neural Network, Computational,Neural Network, Computer,Neural Networks, Computational,Perceptron

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