Conformational flexibility of two RNA trimers explored by computational tools and database search

Area of Science:

• Biochemistry
• Computational Biology
• Structural Biology

Background:

• Understanding RNA structure and dynamics is crucial for deciphering its biological functions.
• Oligonucleotide conformational flexibility influences molecular interactions and cellular processes.

Purpose of the Study:

• To investigate the conformational landscape and dynamics of two RNA sequences, AAA and AUG.
• To compare theoretical predictions with experimental data from the Protein Data Bank (PDB).

Main Methods:

• Utilized the conformational search program CICADA for energy surface analysis.
• Employed molecular dynamics (MD) simulations with the AMBER force field (16 ns total).
• Performed a comprehensive search of the PDB database for relevant experimental structures.

Main Results:

• Identified multiple distinct conformational families for both AAA and AUG RNA sequences.
• MD simulations revealed that trajectory outcomes are dependent on the starting conformational structure.
• Theoretical findings, except for high-energy conformers, were consistent with experimentally observed structures in the PDB.

Conclusions:

• The study successfully characterized the conformational diversity and dynamics of short RNA sequences.
• Theoretical modeling provides valuable insights into RNA conformational behavior, complementing experimental observations.
• A significant correlation exists between computationally predicted and experimentally determined RNA conformations.