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Related Concept Videos

RNA Structure01:19

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...
RNA Structure01:23

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 Structure01:23

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...
Nucleic Acid Structure01:25

Nucleic Acid Structure

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 has a double-helix structure. The...
RNA Stability01:53

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...
Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...

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Related Experiment Video

Updated: Jun 13, 2026

RNA Secondary Structure Prediction Using High-throughput SHAPE
13:42

RNA Secondary Structure Prediction Using High-throughput SHAPE

Published on: May 31, 2013

Approximation algorithms for predicting RNA secondary structures with arbitrary pseudoknots.

Minghui Jiang1

  • 1Department of Computer Science, Utah State University, 4205 Old Main Hill, Logan, UT 84322-4205, USA. mjiang@cc.usu.edu

IEEE/ACM Transactions on Computational Biology and Bioinformatics
|May 1, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces approximation algorithms for RNA secondary structure prediction problems, including 2-Interval Pattern and Maximum Base Pair Stackings. A new problem, Length-Weighted Balanced 2-Interval Pattern, is also proposed for RNA structure analysis.

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Area of Science:

  • Computational Biology
  • Bioinformatics
  • Algorithms

Background:

  • RNA secondary structure prediction is crucial for understanding RNA function.
  • Arbitrary pseudoknots complicate traditional prediction models.
  • Existing problems like 2-Interval Pattern and Maximum Base Pair Stackings are relevant to this challenge.

Purpose of the Study:

  • To develop polynomial-time approximation algorithms for RNA secondary structure prediction problems.
  • To address challenges posed by arbitrary pseudoknots in RNA.
  • To introduce and analyze a novel problem, Length-Weighted Balanced 2-Interval Pattern.

Main Methods:

  • Polynomial-time approximation algorithms were designed and analyzed.
  • The algorithms were applied to the preceding-and-crossing model and unitary restriction for 2-Interval Pattern.
  • Approximation algorithms were developed for explicit input of candidate base pairs for Maximum Base Pair Stackings and Maximum Stacking Base Pairs.

Main Results:

  • Efficient polynomial-time approximation algorithms were established for the 2-Interval Pattern problem under specific models.
  • Approximation algorithms were successfully developed for Maximum Base Pair Stackings and Maximum Stacking Base Pairs.
  • A new, relevant problem, Length-Weighted Balanced 2-Interval Pattern, was formally proposed.

Conclusions:

  • The developed algorithms provide efficient solutions for complex RNA secondary structure prediction tasks.
  • The study advances computational approaches for handling pseudoknots in RNA.
  • The proposed Length-Weighted Balanced 2-Interval Pattern offers a new direction for RNA structure research.