Quantitative Understanding of SHAPE Mechanism from RNA Structure and Dynamics Analysis

Area of Science:

• Biochemistry
• Structural Biology
• Computational Biology

Background:

• The selective 2'-hydroxyl acylation analyzed by primer extension (SHAPE) method provides single nucleotide resolution of RNA local structure and dynamics.
• Understanding the quantitative relationship between nucleotide flexibility, RNA 3D structure, and SHAPE reactivity is crucial for RNA research.

Purpose of the Study:

• To develop a computational model, 3D Structure-SHAPE Relationship (3DSSR), that predicts SHAPE reactivity profiles from RNA 3D structures.
• To establish a quantitative link between nucleotide flexibility, RNA 3D conformation, and SHAPE reactivity.

Main Methods:

• The 3DSSR model integrates nucleotide interaction strength, conformational propensity, SHAPE reagent accessibility, and base-pairing patterns.
• A composite function was developed to quantify the correlation between SHAPE reactivity and nucleotide conformational stability.

Main Results:

• The 3DSSR model successfully demonstrates the relationship between SHAPE reactivity and RNA structure/energetics.
• Predicted SHAPE profiles from 3DSSR showed good correlation with experimental SHAPE data, validating the model's key factors.
• The model provides an effective method for evaluating and excluding RNA 3D models inconsistent with experimental SHAPE data.

Conclusions:

• The 3DSSR model accurately captures key determinants of SHAPE reactivity, linking RNA 3D structure to experimental observations.
• This approach offers a powerful tool for RNA 3D structure validation and refinement using SHAPE chemical probing data.