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Related Concept Videos

RNA Structure01:23

RNA Structure

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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.
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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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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
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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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The organelle-specific signaling sequences direct proteins synthesized in the cytosol to their final destination like ER, mitochondria, peroxisomes, etc. Some of the proteins directed to ER are then trafficked via vesicles to other organelles within the cell or the extracellular environment through the Golgi complex. For example, the rough ER synthesizes soluble proteins for transportation to the lysosomes or secretion out of the cell. It can also synthesize transmembrane proteins that can...
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A protocol for single-sequence protein-RNA complex structure prediction using ProRNA3D-single.

Rahmatullah Roche1, Sumit Tarafder2, Debswapna Bhattacharya2

  • 1TSYS School of Computer Science, Columbus State University, Columbus, GA 31906, USA.

STAR Protocols
|April 19, 2026
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Summary
This summary is machine-generated.

This study introduces ProRNA3D-single, a deep learning method to predict protein-RNA complex structures from sequences. This computational approach aids in understanding biological interactions and designing new drugs.

Keywords:
BioinformaticsBiophysicsMolecular BiologyProtein BiochemistryStructural Biology

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Area of Science:

  • Structural biology
  • Computational biology
  • Bioinformatics

Background:

  • Understanding protein-RNA interactions is crucial for biological processes and medical advancements.
  • Predicting the three-dimensional structures of these complexes is a significant challenge.

Purpose of the Study:

  • To present a novel protocol, ProRNA3D-single, for predicting protein-RNA complex structures from amino acid and nucleotide sequences.
  • To enable accurate structural modeling of protein-RNA interactions using deep learning.

Main Methods:

  • Leveraging pretrained language models to predict protein-RNA interaction maps from sequences.
  • Employing optimization techniques to generate three-dimensional complex structures based on predicted interactions.
  • Utilizing a deep learning-based approach named ProRNA3D-single.

Main Results:

  • A detailed protocol for predicting protein-RNA interaction maps is provided.
  • A procedure for generating three-dimensional protein-RNA complex structures from predicted interactions is described.
  • The ProRNA3D-single protocol offers a sequence-based method for structural modeling.

Conclusions:

  • The ProRNA3D-single protocol provides a powerful computational tool for structural prediction of protein-RNA complexes.
  • This method has potential applications in areas such as host-virus interactions and drug design.
  • Accurate structural modeling can accelerate research in molecular biology and medicine.