RNACluster

RNACluster computes and compares distances between RNA secondary structures and identifies clusters within RNA structure ensembles to analyze structural similarities and RNA energy landscapes.

Key Features:

• Distance metrics: Supports six distinct distance measures for comparing RNA secondary structures.
• MST-based clustering: Uses a minimum spanning tree (MST) based clustering algorithm to identify clusters within RNA structure ensembles.

Scientific Applications:

• Analysis of RNA energy landscapes: Enables analysis of RNA energy landscapes by comparing secondary structure distances.
• Study of conformational switches: Aids investigation of conformational switches in RNA molecules by grouping structures with similar conformations.
• Facilitation of RNA structure prediction: Assists RNA secondary structure prediction through cluster identification and structural comparison.

Methodology:

Computes six distinct distance measures between RNA secondary structures and applies a minimum spanning tree (MST)-based clustering algorithm to identify clusters within structure ensembles.