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Related Concept Videos

Conserved Binding Sites01:49

Conserved Binding Sites

Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally analyses the...
Conserved Binding Sites01:49

Conserved Binding Sites

Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally analyses the...
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 Structure01:19

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

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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.
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...
Ligand Binding Sites02:40

Ligand Binding Sites

Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...

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Dynamic programming algorithms for RNA structure prediction with binding sites.

Unyanee Poolsap1, Yuki Kato, Tatsuya Akutsu

  • 1Bioinformatics Center, Institute for Chemical Research, Kyoto University, Gokasho, Uji, Kyoto 611-0011, Japan. unyanee@kuicr.kyoto-u.ac.jp

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|November 13, 2009
PubMed
Summary

This study introduces new algorithms for predicting RNA-RNA interactions by analyzing secondary structures. The method accurately identifies binding sites, improving computational predictions for noncoding antisense RNAs.

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Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Computational Biology

Background:

  • Noncoding antisense RNAs are gaining research interest.
  • Computational prediction of RNA-RNA interactions is an active research area.
  • Understanding RNA-RNA interactions is crucial for various biological processes.

Purpose of the Study:

  • To develop novel dynamic programming algorithms for RNA-RNA interaction prediction.
  • To predict the minimum energy secondary structure of interacting RNAs when binding sites are known.

Main Methods:

  • Development of new dynamic programming algorithms.
  • Utilizing known binding sites of one RNA molecule.
  • Predicting minimum energy secondary structures.

Main Results:

  • The proposed algorithms demonstrate good performance.
  • High accuracy in predicting RNA-RNA interactions.
  • Efficient computation time for predictions.

Conclusions:

  • The novel algorithms provide an effective approach for RNA-RNA interaction prediction.
  • The method is accurate and time-efficient for analyzing noncoding antisense RNAs.
  • This work contributes to the computational study of RNA interactions.