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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-seq03:21

RNA-seq

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. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...
RNA Splicing01:32

RNA Splicing

Splicing is the process by which eukaryotic RNA is edited before its translation into protein. The RNA strand transcribed from eukaryotic DNA is called the primary transcript. The primary transcripts that become mRNAs are called precursor messenger RNAs (pre-mRNAs). Eukaryotic pre-mRNA contains alternating sequences of exons and introns. Exons are nucleotide sequences that code for proteins, whereas introns are the non-coding regions. In RNA splicing, introns are removed and exons are bonded...

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Combinatorial permutation based algorithm for representation of closed RNA secondary structures.

Athanasios T Alexiou1, Maria M Psiha, Panayiotis M Vlamos

  • 1Department of Informatics, Ionian University, Plateia Tsirigoti 7, 49100 Corfu, Greece.

Bioinformation
|September 23, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a novel loopless algorithm for representing RNA secondary structures using permutations. The efficient method reduces computational complexity for analyzing these crucial biological molecules.

Keywords:
Closed RNA secondary structuresk-noncrossing partitionspermutation-based algorithm

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Structural Biology

Background:

  • RNA secondary structures are fundamental to gene regulation and function.
  • Efficient algorithms are needed to represent and analyze complex RNA structures.
  • Existing methods for RNA structure representation can be computationally intensive.

Purpose of the Study:

  • To introduce a novel permutation-based algorithm for representing closed RNA secondary structures.
  • To develop an efficient, loopless method for generating RNA structure permutations.
  • To reduce the computational complexity compared to existing RNA structure algorithms.

Main Methods:

  • Developed a permutation-based algorithm generating base-pair permutations.
  • Utilized 'k-noncrossing' set partitions for structure representation.
  • Implemented minimal change ordering and transposition of non-adjacent elements.

Main Results:

  • The algorithm efficiently represents closed RNA secondary structures.
  • Achieved a reduced computational complexity of O(n).
  • Demonstrated the effectiveness of the loopless permutation generation.

Conclusions:

  • The proposed algorithm offers an efficient and computationally less complex method for RNA secondary structure representation.
  • This loopless approach facilitates the analysis of RNA structural dynamics.
  • The algorithm provides a valuable tool for bioinformatics and structural biology research.