An Efficient Minimum Free Energy Structure-Based Search Method for Riboswitch Identification Based on Inverse RNA...

Area of Science:

• Bioinformatics
• Molecular Biology
• RNA Biology

Background:

• Riboswitches are protein-independent RNA genetic control elements regulating gene expression.
• Over 20 riboswitch classes are known in prokaryotes, but only one (TPP riboswitch) is found in eukaryotes (not animals).
• Current eukaryotic riboswitch discovery relies on sequence-based methods lacking energy minimization structure predictions.

Purpose of the Study:

• To develop novel bioinformatics methods for discovering eukaryotic riboswitches.
• To create a flexible, structure-guided search method that retains computational efficiency.
• To transform structure-based searches into sequence-based searches for broader utility.

Main Methods:

• Developed a new energy minimization approach.
• Utilized an extended inverse RNA folding problem solver (RNAfbinv) with sequence and structure constraints.
• Transformed structure-based search into a sequence-based search compatible with BLAST and FASTA.

Main Results:

• Successfully applied the method to purine and preQ1 riboswitches in prokaryotes.
• Demonstrated the method's potential for finding novel eukaryotic riboswitches.
• Showcased the method's utility in optimizing synthetic riboswitches via ligand simulations.

Conclusions:

• The new method offers a flexible and efficient approach to riboswitch discovery.
• This approach can significantly advance the identification of eukaryotic riboswitches.
• Freely available method components facilitate wider research application.