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Area of Science:

  • Molecular Biology
  • Genomics
  • Biochemistry

Background:

  • Ribonucleic acid (RNA) was initially considered a simple intermediary in gene expression.
  • RNA is now recognized for its diverse functions, arising from its abundance and complex structures.
  • A significant portion of the human genome (70-90%) is transcribed into various functional RNAs.

Purpose of the Study:

  • To highlight the critical role of RNA structure in its lifecycle and cellular functions.
  • To discuss the challenges and advancements in predicting RNA tertiary and higher-order structures.
  • To emphasize the potential of RNA-based applications, particularly in gene therapy.

Main Methods:

  • Analysis of RNA structure from primary to quinary levels.
  • Comparison with protein structure prediction methods like AlphaFold.
  • Integration of machine learning, artificial intelligence, and advanced sequencing techniques.
  • Single-cell and intact tissue level structural analyses.

Main Results:

  • RNA structure is crucial for its lifecycle, from transcription to decay.
  • Predicting complex RNA tertiary and beyond structures remains a significant challenge.
  • Emerging technologies offer promising avenues for RNA structure elucidation.

Conclusions:

  • RNA's multifaceted roles are intrinsically linked to its intricate structural organization.
  • Continued advancements in computational and experimental methods are vital for understanding RNA.
  • The progress in RNA structure prediction holds great promise for developing novel gene therapy strategies.