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Related Experiment Videos

ARTS: alignment of RNA tertiary structures.

Oranit Dror1, Ruth Nussinov, Haim Wolfson

  • 1School of Computer Science, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel. oranit@post.tau.ac.il

Bioinformatics (Oxford, England)
|October 6, 2005
PubMed
Summary

A new computational method, ARTS (alignment of RNA tertiary structures), identifies common RNA and DNA substructures. This efficient tool analyzes RNA tertiary structures, revealing novel insights into their functions.

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Area of Science:

  • Biochemistry
  • Bioinformatics
  • Structural Biology

Background:

  • Non-coding RNAs are increasingly recognized for their critical roles in cellular processes.
  • Understanding RNA tertiary structures is essential for elucidating their functions, similar to proteins.
  • Current methods for analyzing RNA structures lag behind those available for protein structure analysis.

Purpose of the Study:

  • To introduce ARTS (alignment of RNA tertiary structures), a novel computational method for comparing nucleic acid structures.
  • To enable the detection of previously unknown common substructures within RNAs and DNAs.
  • To provide a tool for analyzing both large-scale RNA folds and small tertiary motifs.

Main Methods:

  • ARTS utilizes a computational approach to compare two nucleic acid structures (RNA or DNA).

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  • The method is capable of identifying common substructures, ranging from global folds to local tertiary motifs.
  • ARTS is designed for high efficiency, facilitating large-scale analyses.

    • Main Results:

    • ARTS successfully identifies common substructures in nucleic acid molecules.
    • The method can detect both extensive global folds and localized tertiary motifs.
    • An all-against-all comparison of all available RNA structures in the Protein Data Bank was performed using ARTS.

    Conclusions:

    • ARTS represents a pioneering method for detecting common substructures in RNA and DNA.
    • The efficiency of ARTS allows for comprehensive analysis of existing structural data.
    • This tool is expected to advance the study of RNA structure and function.