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Web Services for RNA-RNA Interaction Prediction.

Tsukasa Fukunaga1,2, Junichi Iwakiri3, Michiaki Hamada4,5

  • 1Department of Computer Science, Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan. fukunaga@aoni.waseda.jp.

Methods in Molecular Biology (Clifton, N.J.)
|January 27, 2023
PubMed
Summary
This summary is machine-generated.

Predicting RNA-RNA interactions is crucial for understanding non-coding RNA functions. This review surveys web services that aid biologists in predicting these interactions and designing RNA molecules.

Keywords:
Non-coding RNARNA designRNA-RNA interactionWeb servicemiRNA

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Area of Science:

  • Bioinformatics and computational biology
  • Molecular biology and genetics

Background:

  • Non-coding RNAs (ncRNAs) regulate gene expression through various mechanisms, including translational control.
  • RNA-RNA interactions are fundamental to the functional mechanisms of ncRNAs.
  • Accurate prediction of RNA-RNA interactions is vital for advancing biological research.

Approach:

  • This review surveys existing web services for predicting RNA-RNA interactions.
  • It categorizes prediction tools into general, specific RNA class, and RNA design tools.
  • Guidance on using primary web services is provided for experimental biologists.

Key Points:

  • Web services significantly enhance the usability of computational RNA-RNA interaction prediction tools.
  • A diverse range of tools are available, catering to different prediction needs and RNA types.
  • The review highlights the importance of user-friendly interfaces for experimental researchers.

Conclusions:

  • Continued development of accurate prediction algorithms and sustainable web services is essential.
  • Future perspectives include advancements in prediction accuracy and broader accessibility for biologists.
  • The maintenance and evolution of these bioinformatics tools will support future discoveries in ncRNA biology.