PRIMARY AND PROPOSED SECONDARY STRUCTURES FOR 18S rRNA FROM SOYBEAN DETERMINED FROM THE NUCLEOTIDE SEQUENCE OF CLONED rDNA.

1983 ◽  
pp. 578 ◽  
Author(s):  
V.K. Eckenrode ◽  
R.B. Meagher
Keyword(s):  
Nucleotide Sequence ◽  
18S Rrna ◽  
Secondary Structures

Genetic Identification of Algas on The Basis of The Analysis of 18s rRNA and rbcl of Genes Nucleotide Sequence and Development of Technology of Aquaculture Cultivation

2014 ◽  
Vol 2 (42) ◽  
pp. 291-291
Author(s):  
Z.B. Tekebayeva ◽  
A.B. Shevtsov ◽  
X.K. Rakhymzhan ◽  
K.A. Aituganov ◽  
G.A. Babayeva ◽  
...  
Keyword(s):  
Nucleotide Sequence ◽  
18S Rrna ◽  
Genetic Identification

scholarly journals Structural relation matching: an algorithm to identify structural patterns into RNAs and their interactions

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Michela Quadrini
Keyword(s):  
Hydrogen Bonding ◽  
Secondary Structure ◽  
Nucleotide Sequence ◽  
Thermus Thermophilus ◽  
Three Dimensional ◽  
Secondary Structures ◽  
Structural Effect ◽  
Biological Processes ◽  
Structural Pattern ◽  
Rna Molecules

Abstract RNA molecules play crucial roles in various biological processes. Their three-dimensional configurations determine the functions and, in turn, influences the interaction with other molecules. RNAs and their interaction structures, the so-called RNA–RNA interactions, can be abstracted in terms of secondary structures, i.e., a list of the nucleotide bases paired by hydrogen bonding within its nucleotide sequence. Each secondary structure, in turn, can be abstracted into cores and shadows. Both are determined by collapsing nucleotides and arcs properly. We formalize all of these abstractions as arc diagrams, whose arcs determine loops. A secondary structure, represented by an arc diagram, is pseudoknot-free if its arc diagram does not present any crossing among arcs otherwise, it is said pseudoknotted. In this study, we face the problem of identifying a given structural pattern into secondary structures or the associated cores or shadow of both RNAs and RNA–RNA interactions, characterized by arbitrary pseudoknots. These abstractions are mapped into a matrix, whose elements represent the relations among loops. Therefore, we face the problem of taking advantage of matrices and submatrices. The algorithms, implemented in Python, work in polynomial time. We test our approach on a set of 16S ribosomal RNAs with inhibitors of Thermus thermophilus, and we quantify the structural effect of the inhibitors.

scholarly journals NASP: a parallel program for identifying evolutionarily conserved nucleic acid secondary structures from nucleotide sequence alignments

2011 ◽  
Vol 27 (17) ◽  
pp. 2443-2445 ◽  
Author(s):  
J. Y. Semegni ◽  
M. Wamalwa ◽  
R. Gaujoux ◽  
G. W. Harkins ◽  
A. Gray ◽  
...  
Keyword(s):  
Nucleic Acid ◽  
Nucleotide Sequence ◽  
Secondary Structures ◽  
Parallel Program ◽  
Sequence Alignments ◽  
Evolutionarily Conserved

scholarly journals Nucleotide sequence of the region between the 18S rRNA sequence and the 28S rRNA sequence of rat ribosomal DNA

1982 ◽  
Vol 10 (12) ◽  
pp. 3667-3680 ◽  
Author(s):  
Chirala S. Subrahmanyam ◽  
Brandt Cassidy ◽  
Harris Busch ◽  
Lawrence I. Rothblum
Keyword(s):  
Nucleotide Sequence ◽  
Ribosomal Dna ◽  
18S Rrna ◽  
28S Rrna ◽  
Rrna Sequence

scholarly journals JNSViewer—A JavaScript-based Nucleotide Sequence Viewer for DNA/RNA secondary structures

PLoS ONE ◽  
2017 ◽  
Vol 12 (6) ◽  
pp. e0179040 ◽  
Author(s):  
Jieming Shi ◽  
Xi Li ◽  
Min Dong ◽  
Mitchell Graham ◽  
Nehul Yadav ◽  
...  
Keyword(s):  
Nucleotide Sequence ◽  
Secondary Structures ◽  
Rna Secondary Structures
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