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Automated modeling of RNA 3D structure.

Kristian Rother1, Magdalena Rother, Pawel Skiba

  • 1Laboratory of Bioinformatics and Protein Engineering, International Institute of Molecular and Cell Biology, Warsaw, Poland, krother@genesilico.pl.

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|March 19, 2014
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Summary
This summary is machine-generated.

This chapter reviews automated RNA structure modeling, focusing on template-based methods like ModeRNA and MacroMoleculeBuilder. A new pipeline using ParAlign and Infernal is proposed for template identification and sequence alignment.

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Area of Science:

  • Computational Biology
  • Structural Biology
  • Bioinformatics

Background:

  • Automated RNA structure modeling is crucial for understanding RNA function.
  • Template-based methods are widely used, drawing parallels with protein modeling.
  • Existing methods often require sequence alignment to a known RNA template.

Purpose of the Study:

  • To provide an overview of current automated RNA modeling techniques.
  • To present template-based modeling programs (ModeRNA, MacroMoleculeBuilder).
  • To propose an improved pipeline for template selection and sequence alignment.

Main Methods:

  • Review of template-based RNA modeling approaches.
  • Presentation of ModeRNA and MacroMoleculeBuilder.
  • Proposal of a pipeline combining ParAlign and Infernal for template identification and alignment using Rfam data.
  • Brief summary of template-free methods and structure refinement techniques.

Main Results:

  • ModeRNA and MacroMoleculeBuilder assemble RNA structures using templates.
  • The proposed ParAlign-Infernal pipeline enhances template finding and sequence alignment for RNA families.
  • Automated modeling often necessitates subsequent local or global structure refinement.

Conclusions:

  • Template-based methods are a cornerstone of automated RNA modeling.
  • The ParAlign-Infernal pipeline offers a robust approach for template identification and alignment.
  • Refinement strategies are essential for optimizing predicted RNA structures.