Developing three-dimensional models of putative-folding intermediates of the HDV ribozyme

Area of Science:

• Biochemistry
• Computational Biology
• Molecular Biology

Background:

• RNA tertiary structure dictates its function and interactions.
• Accurate prediction of RNA folding pathways is essential for understanding RNA biology.
• The hepatitis delta virus (HDV) ribozyme, with numerous folding intermediates, serves as an ideal model for studying RNA folding.

Purpose of the Study:

• To predict the tertiary structures of intermediate states in the HDV ribozyme folding pathway.
• To apply and validate the MC-Sym software for RNA structure prediction.
• To elucidate structural features of the HDV ribozyme through computational modeling.

Main Methods:

• Utilized Macromolecular Conformations Symbolic programming (MC-Sym) software to predict RNA tertiary structures.
• Employed Selective 2'-Hydroxyl Acylation analyzed by Primer Extension (SHAPE) data for experimental validation.
• Analyzed predicted structures to understand HDV ribozyme folding intermediates.

Main Results:

• Successfully predicted tertiary structures for putative HDV ribozyme folding intermediates.
• MC-Sym predictions were supported by SHAPE experimental data.
• Identified key structural features of the HDV ribozyme folding pathway.

Conclusions:

• MC-Sym is a valuable tool for predicting RNA tertiary structures and folding pathways.
• Computational modeling, combined with experimental data, advances the understanding of complex RNA folding.
• This work represents a significant step towards the computer-aided prediction of complete RNA folding pathways.