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Related Concept Videos

RNA Structure01:23

RNA Structure

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Overview
The basic structure of RNA consists of a five-carbon sugar and one of four nitrogenous bases. Although most RNA is single-stranded, it can form complex secondary and tertiary structures. Such structures play essential roles in the regulation of transcription and translation.
Different Types of RNA Have the Same Basic Structure
There are three main types of ribonucleic acid (RNA): messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three RNA types consist of a...
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RNA Structure01:19

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The basic structure of RNA consists of a string of ribonucleotides attached by phosphodiester bonds. Although most RNA is single-stranded, it can form complex secondary and tertiary structures. Such structures play essential roles in the regulation of transcription and translation.
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Nucleic Acid Structure01:25

Nucleic Acid Structure

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The pentose sugar in DNA is deoxyribose, while in RNA the pentose sugar is ribose. The difference between the sugars is the presence of the hydroxyl group on the ribose's second carbon and a hydrogen on the deoxyribose's second carbon. The phosphate residue attaches to the hydroxyl group of the 5′ carbon of one sugar and the hydroxyl group of the 3′ carbon of the sugar of the next nucleotide, which forms  a 5′ to 3′ phosphodiester linkage.
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Conserved Binding Sites01:49

Conserved Binding Sites

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Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
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Transfer RNA Synthesis02:36

Transfer RNA Synthesis

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One of the unique features of tRNA is the presence of modified bases. In some tRNAs, modified bases account for nearly 20% of the total bases in the molecule. Altogether, these unusual bases protect the tRNA from enzymatic degradation by RNases.
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RNA Editing02:23

RNA Editing

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RNA editing is a post-transcriptional modification where a precursor mRNA (pre-mRNA) nucleotide sequence is changed by base insertion, deletion, or modification. The extent of RNA editing varies from a few hundred bases, in mitochondrial DNA of trypanosomes, to a just single base, in nuclear genes of mammals. Even a single base change in the pre-mRNA can convert a codon for one amino acid into the codon for another amino acid or a stop codon. This type of re-coding can significantly affect the...
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Analyzing and Building Nucleic Acid Structures with 3DNA
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CompAnnotate: a comparative approach to annotate base-pairing interactions in RNA 3D structures.

Shahidul Islam1, Ping Ge1, Shaojie Zhang1

  • 1Department of Computer Science, University of Central Florida, Orlando, FL 32816, USA.

Nucleic Acids Research
|June 24, 2017
PubMed
Summary
This summary is machine-generated.

Analyzing low-resolution RNA structures is challenging. CompAnnotate uses high-resolution data to improve base-pairing annotations, significantly enhancing sensitivity and precision in RNA tertiary structure analysis.

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Area of Science:

  • Structural Biology
  • Computational Biology
  • Bioinformatics

Background:

  • Analyzing RNA tertiary structure is difficult due to limited and low-resolution structural data.
  • Low-resolution structures contain atomic coordinate errors, complicating the extraction of key geometric features, especially base interactions.

Purpose of the Study:

  • To develop a novel comparative method, CompAnnotate, for improving base-pairing annotations in low-resolution RNA structures.
  • To leverage high-resolution homologous structures for more accurate geometric assessments.

Main Methods:

  • CompAnnotate aligns high-resolution RNA structures with low-resolution targets.
  • It performs comparative geometric assessments to annotate base-pairing interactions.
  • The method was benchmarked against existing annotation techniques.

Main Results:

  • CompAnnotate significantly improves upon existing methods for annotating base-pairing interactions.
  • Demonstrated substantial enhancements in sensitivity (28% to 57%) and precision (53% to 82%) in specific cases.
  • Improvements were observed across various methods and datasets.

Conclusions:

  • CompAnnotate offers a robust solution for overcoming limitations in low-resolution RNA structural data.
  • The method enhances the accuracy of base-pairing annotations, crucial for understanding RNA tertiary structure.
  • This approach facilitates more reliable geometric characteristic extraction from limited structural data.