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RNA Structure

RNA Structure

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...

RNA Structure

RNA Structure

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...

Correlation of Experimental Data

Correlation of Experimental Data

Dimensional analysis simplifies complex physical problems and guides experimental investigations, but it does not provide complete solutions. It identifies the dimensionless groups that influence a phenomenon, but experimental data is needed to establish the specific relationships and validate theoretical predictions.
For example, a spherical particle moving through a viscous fluid experiences drag. Dimensional analysis shows that the drag force depends on the particle's diameter, velocity,...

Chromatin Structure and RNA Splicing

Chromatin Structure and RNA Splicing

RNA Stability

RNA Stability

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...

Ribosomal RNA Synthesis

Ribosomal RNA Synthesis

Ribosome synthesis is a highly complex and coordinated process involving more than 200 assembly factors. The synthesis and processing of ribosomal components occurs not only in the nucleolus but also in the nucleoplasm and the cytoplasm of eukaryotic cells.
Ribosome biogenesis begins with the synthesis of 5S and 45S pre-rRNAs by distinct RNA polymerases. The primary transcripts are extensively processed and modified before they are bound and folded by ribosomal proteins and assembly factors,...

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Related Experiment Video

Updated: Jan 30, 2026

3D Printing of Preclinical X-ray Computed Tomographic Data Sets

3D Printing of Preclinical X-ray Computed Tomographic Data Sets

Published on: March 22, 2013

Computational modeling of RNA 3D structure based on experimental data.

Almudena Ponce-Salvatierra¹, Astha¹, Katarzyna Merdas¹

¹Laboratory of Bioinformatics and Protein Engineering, International Institute of Molecular and Cell Biology in Warsaw, ul. Ks. Trojdena 4, Warsaw PL-02-109, Poland.

Bioscience Reports

|January 24, 2019

Summary

This summary is machine-generated.

Predicting RNA structures is challenging due to their complexity. This review explores experimental and computational methods, highlighting their integration for improved RNA 3D structure modeling and future research directions.

Keywords:

RNA structure computational biochemistry integrative modeling molecular modeling

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Area of Science:

Molecular Biology
Biochemistry
Structural Biology

Background:

RNA molecules are crucial regulators of cellular processes, with their function determined by structure and sequence.
Experimental determination of high-resolution RNA structures is difficult, leaving most RNAs uncharacterized.
Current computational methods for RNA structure prediction have limitations, especially for longer sequences.

Purpose of the Study:

To review experimental methods generating data for RNA structure prediction.
To examine computational approaches for RNA structure prediction utilizing experimental data.
To suggest future directions for RNA 3D structure modeling.

Main Methods:

Review of experimental techniques for RNA structure determination.
Analysis of computational algorithms for RNA folding and structure prediction.
Integration of experimental data with theoretical modeling.

Main Results:

Experimental methods can provide crucial data to enhance computational RNA structure prediction.
Combining experimental and computational approaches improves accuracy for RNA 3D modeling.
Existing software can be expanded to incorporate more data types for better predictions.

Conclusions:

The integration of experimental and computational methods is key to advancing RNA structure prediction.
Further development is needed to leverage diverse experimental data for more accurate RNA 3D models.
Exploring novel data types and computational strategies will drive future progress in RNA structural biology.