Rclick

Rclick performs superimposition of RNA three-dimensional (3D) structures to enable precise structural comparison and classification.

Key Features:

• Clique Matching Algorithm: Identifies maximal cliques (subsets of RNA atoms with mutual interactions) to focus alignment on structurally significant regions.
• 3D Least Squares Fitting: Applies 3D least squares fitting to optimize superimposition by minimizing the sum of squared deviations between corresponding atoms.
• Benchmarking and Performance: Has been benchmarked against other servers and methods, demonstrating superior performance in structure overlap in most cases.
• Detection of Conformational Changes: Generates complementary alignments to maximize detectable similarity and recognize conformational differences between RNA structures.
• Versatility in Applications: Supports alignment of RNA-protein complexes and RNA-ligand structures in addition to standalone RNA molecules.

Scientific Applications:

• Structural Comparison and Classification: Enables detailed comparison and classification of RNA 3D structures based on atomic-level alignments.
• Conformational Dynamics Analysis: Detects and characterizes conformational changes between related RNA structures.
• RNA-Protein Interaction Studies: Facilitates structural analysis of RNA-protein complexes to investigate interaction interfaces and conformational effects.
• RNA-Ligand Interaction Analysis: Supports comparison of RNA-ligand bound states to study binding-induced structural changes.
• Support for Therapeutic Research: Provides structural alignment information relevant to investigations of RNA function and RNA-targeted therapeutic strategies.

Methodology:

Computational methods explicitly include clique matching to identify maximal atom cliques, 3D least squares fitting to minimize squared deviations between corresponding atoms, generation of complementary alignments to detect conformational changes, and benchmarking against other servers and methods.