DVASS

DVASS selects and ranks distance restraints using the distance variation allowed by RNA secondary structure to optimize RNA tertiary structure prediction and reduce kinetic traps by identifying minimal subsets of native contacts.

Key Features:

• Restraint Ranking: Ranks candidate distance restraints (native contacts) by their impact on prediction accuracy as determined by distance variation allowed by secondary structures.
• Strategic Restraint Utilization: Identifies a minimal subset of critical restraints that substantially improves RNA tertiary structural model accuracy.
• Kinetic Trap Mitigation: Determines an optimal subset of native contacts to use as restraints to avoid kinetic traps during structure prediction.

Scientific Applications:

• RNA Tertiary Structure Prediction: Improves accuracy of RNA tertiary structural models, with studies reporting that using 40–60% of native contacts and the top 20% of DVASS-ranked restraints can substantially enhance model precision.
• Experimental Data Integration: Integrates experimental information with bioinformatics data to refine computational RNA structure predictions and inform structure–function analyses.

Methodology:

DVASS assesses limits of prediction accuracy with varying numbers of restraints, tests native contacts as candidate restraints, and ranks them by their impact measured as the distance variation allowed by secondary structures to select a minimal restraint set.