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Related Concept Videos

RNA Structure01:19

RNA Structure

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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.
Different Types of RNA Have the Same Basic Structure
There are three main types of ribonucleic acid (RNA) involved in protein synthesis: messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three...
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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.
DNA Structure
DNA...
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Experimental RNAi02:15

Experimental RNAi

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RNA interference (RNAi) is a cellular mechanism that inhibits gene expression by suppressing its transcription or activating the RNA degradation process. The mechanism was discovered by Andrew Fire and Craig Mello in 1998 in plants. Today, it is observed in almost all eukaryotes, including protozoa, flies, nematodes, insects, parasites, and mammals. This precise cellular mechanism of gene silencing has been developed into a technique that provides an efficient way to identify and determine the...
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RNA Interference01:23

RNA Interference

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RNA interference (RNAi) is a process in which a small non-coding RNA molecule blocks the post-transcriptional expression of a gene by binding to its messenger RNA (mRNA) and preventing the protein from being translated.
This process occurs naturally in cells, often through the activity of genomically-encoded microRNAs. Researchers can take advantage of this mechanism by introducing synthetic RNAs to deactivate specific genes for research or therapeutic purposes. For example, RNAi could be used...
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Nucleic Acids02:43

Nucleic Acids

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Nucleic acids are the most important macromolecules for the continuity of life. They carry the cell's genetic blueprint and carry instructions for its functioning.
DNA and RNA
The two main types of nucleic acids are deoxyribonucleic acid (DNA) and ribonucleic acid (RNA). DNA is the genetic material in all living organisms, ranging from single-celled bacteria to multicellular mammals. It is in the nucleus of eukaryotes and in the organelles, chloroplasts, and mitochondria. In prokaryotes,...
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RNA Stability01:53

RNA Stability

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Intact DNA strands can be found in fossils, while scientists sometimes struggle to keep RNA intact under laboratory conditions. The structural variations between RNA and DNA underlie the differences in their stability and longevity. Because DNA is double-stranded, it is inherently more stable. The single-stranded structure of RNA is less stable but also more flexible and can form weak internal bonds. Additionally, most RNAs in the cell are relatively short, while DNA can be up to 250 million...
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Updated: Jun 8, 2025

RNA Secondary Structure Prediction Using High-throughput SHAPE
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RNA Secondary Structure Prediction Using High-throughput SHAPE

Published on: May 31, 2013

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Predicting RNA structures and functions by artificial intelligence.

Jun Zhang1, Mei Lang2, Yaoqi Zhou2

  • 1National Engineering Laboratory for Big Data System Computing Technology, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, Guangdong, 518060, China.

Trends in Genetics : TIG
|November 4, 2024
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) is advancing RNA structure prediction and function analysis. Integrating structural and binding data with deep learning (DL) offers new insights into RNA sequence-structure-function relationships.

Keywords:
RNA designRNA functionRNA structureartificial intelligence

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Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Computational Biology

Background:

  • RNA molecules perform functions through structural interactions with targets.
  • The dynamic nature of RNA makes experimental and computational structure determination challenging.
  • Artificial intelligence (AI) is increasingly applied to RNA research, including structure, binding, and function prediction.

Purpose of the Study:

  • To explore the potential of AI, particularly deep learning (DL), in understanding RNA structure and function.
  • To highlight the importance of integrating structural and target binding information for robust AI-based RNA analysis.
  • To elucidate the complex relationship between RNA sequence, structure, and function.

Main Methods:

  • Leveraging artificial intelligence (AI) and deep learning (DL) algorithms.
  • Analyzing RNA structural dynamics and target interactions.
  • Integrating sequence, structural, and binding data for enhanced prediction models.

Main Results:

  • AI demonstrates significant promise in predicting RNA structures and functions.
  • Combining structural and target binding information improves the accuracy of AI-driven RNA function prediction and design.
  • Deep learning algorithms offer powerful tools for deciphering RNA sequence-structure-function relationships.

Conclusions:

  • AI presents an unprecedented opportunity to advance our understanding of RNA biology.
  • Future research should focus on integrating diverse data types within AI frameworks for comprehensive RNA analysis.
  • AI-driven approaches are poised to revolutionize RNA research, enabling more accurate predictions and novel RNA designs.