iFoldRNA

iFoldRNA predicts RNA tertiary structures from primary sequences using computational simulations to model three-dimensional RNA folding and support analysis of RNA structure–function relationships.

Key Features:

• Enhanced prediction capacity: Extends predictive capability to RNA molecules up to a few hundred nucleotides in length.
• Integration of experimental data: Incorporates experimental constraints such as base-pairing information and hydroxyl-radical probing results to guide modeling.
• Computational prediction algorithms: Employs advanced computational algorithms and simulations to generate RNA tertiary structure predictions.

Scientific Applications:

• Structural biology research: Supports elucidation of RNA three-dimensional structures to inform studies of RNA function.
• Drug design and development: Provides structural models of RNA targets to inform therapeutic design and targeting strategies.
• Educational and training purposes: Supplies predictive models for teaching and training in RNA folding and structure analysis.

Methodology:

Uses advanced computational algorithms and simulations to predict RNA tertiary structures and can incorporate experimental constraints such as base‑pairing information and hydroxyl‑radical probing data.