SimRNA

SimRNA predicts and simulates RNA three-dimensional (3D) structures from sequence to enable analysis of RNA conformations and dynamics.

Key Features:

• Coarse-Grained Representation: Employs a coarse-grained model that simplifies atomic detail while preserving essential RNA structural features to enable efficient conformational exploration.
• Monte Carlo Method for Sampling: Utilizes the Monte Carlo method to stochastically sample RNA conformations and explore a wide range of structural states.
• Statistical Potential for Energy Approximation: Applies a statistical potential to approximate the RNA energy landscape and identify energetically favorable conformations.
• Sequence-Dependent Folding: Predicts 3D structures using only sequence information and can recapitulate secondary structures and predict pseudoknots on established test sequences.
• Incorporation of Additional Restraints: Integrates additional restraints derived from experimental or computational analyses, such as secondary structure and long-range contacts, to refine models.
• Conformational Landscape Analysis: Analyzes RNA conformational landscapes to identify potential alternative structures and assess dynamics and flexibility.

Scientific Applications:

• Structural Biology: Predicts RNA 3D structures to investigate the structural basis of RNA function and interactions with other biomolecules.
• Genomics and Transcriptomics: Derives structural insights from sequence data to inform functional annotation in genomics and transcriptomics studies.
• Drug Design and Therapeutics: Provides predicted RNA 3D structures to support rational design of RNA-targeted therapeutics.
• Biophysical Studies: Simulates folding pathways and conformational changes to study RNA folding dynamics and stability.

Methodology:

Uses a coarse-grained RNA representation, Monte Carlo sampling of conformations, a statistical potential to approximate energies, optional integration of experimental or computational restraints (e.g., secondary structure and long-range contacts), and analysis of conformational landscapes.