Results 331 to 340 of about 1,943,814 (363)
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Science, 1970
The 50 S and 30 S ribosomes and 23 S and 16 S RNA were hydrolyzed with ribonuclease A. The rate constants and number of fragments produced were determined for each reaction.
Jaime Amaya+2 more
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The 50 S and 30 S ribosomes and 23 S and 16 S RNA were hydrolyzed with ribonuclease A. The rate constants and number of fragments produced were determined for each reaction.
Jaime Amaya+2 more
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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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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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RNA helicases: modulators of RNA structure
Trends in Cell Biology, 1994RNA molecules play an essential role in many cellular processes, often as components of ribonucleoprotein complexes. Like proteins, RNA molecules adopt sequence-specific secondary and tertiary structures that are essential for function; alteration of these structures therefore provides a means of regulating RNA function.
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Annual Review of Biochemistry, 1999
▪ Abstract An RNA motif is a discrete sequence or combination of base juxtapositions found in naturally occurring RNAs in unexpectedly high abundance. Because all the motifs examined so far have three-dimensional structures independent of the context in which they are embedded, they are important components of the “kit” of structural elements from ...
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▪ Abstract An RNA motif is a discrete sequence or combination of base juxtapositions found in naturally occurring RNAs in unexpectedly high abundance. Because all the motifs examined so far have three-dimensional structures independent of the context in which they are embedded, they are important components of the “kit” of structural elements from ...
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Biosystems, 1983
Evidence is presented that structures formed by RNA and by RNA in association with protein have evolved from simpler structures by successive unions among them. The progressively more complex molecular structures have conferred selective advantage in evolution by progressively enhancing the specificities of the biochemical reactions. Before each union,
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Evidence is presented that structures formed by RNA and by RNA in association with protein have evolved from simpler structures by successive unions among them. The progressively more complex molecular structures have conferred selective advantage in evolution by progressively enhancing the specificities of the biochemical reactions. Before each union,
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RNA structure: bioinformatic analysis
Current Opinion in Microbiology, 2007The range of functions ascribed to RNA molecules has grown considerably during recent years. Consequently, the analysis and comparison of RNA sequences have become recurrent tasks in molecular biology. Because the biological function of an RNA is expressed more by its folded architecture than by its sequence, original computational tools adapted to the
Jossinet, Fabrice+2 more
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Multiple RNA structure alignment
Proceedings. 2004 IEEE Computational Systems Bioinformatics Conference, 2004. CSB 2004., 2004Ribonucleic Acid (RNA) structures can be viewed as a special kind of strings where characters in a string can bond with each other. The question of aligning two RNA structures has been studied for a while, and there are several successful algorithms that are based upon different models. In this paper, by adopting the model introduced in Wang and Zhang,
Kaizhong Zhang, Zhuozhi Wang
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2010
We give an overview of RNA structure predictions in this chapter. We discuss here the main approaches to RNA structure prediction: combinatorial approaches, comparative approaches, and kinetic approaches. The main algorithms and mathematical concepts such as transformational grammars will be briefly introduced.
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We give an overview of RNA structure predictions in this chapter. We discuss here the main approaches to RNA structure prediction: combinatorial approaches, comparative approaches, and kinetic approaches. The main algorithms and mathematical concepts such as transformational grammars will be briefly introduced.
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2011
The prediction of RNA structure can be a first important step for the functional characterization of novel ncRNAs. Especially for the very meaningful secondary structure, there is a multitude of computational prediction tools. They differ not only in algorithmic details and the underlying models but also in what exactly they are trying to predict. This
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The prediction of RNA structure can be a first important step for the functional characterization of novel ncRNAs. Especially for the very meaningful secondary structure, there is a multitude of computational prediction tools. They differ not only in algorithmic details and the underlying models but also in what exactly they are trying to predict. This
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Solution Structure Probing of RNA Structures
2008Single-stranded RNA plant viruses not only code for viral proteins within their RNA genomes, they often maintain elaborate RNA secondary structures. These structures can be integral to a variety of viral processes, such as viral translation, genome replication, subgenomic mRNA transcription, and genome encapsidation.
Marc R. Fabian, K. Andrew White
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