CHESCA-SPARKY and CHESPA-SPARKY

CHESCA-SPARKY and CHESPA-SPARKY analyze correlated NMR chemical shift changes to identify and map allosteric communication networks in biological macromolecules.

Key Features:

• Automated detection of correlated shifts: Detects correlated chemical shift changes across NMR datasets to reveal residue-level communication.
• CHESCA covariance analysis: Implements covariance-based analysis to identify statistically correlated chemical shift variations.
• CHESPA projection analysis: Projects correlated chemical shift patterns onto a lower-dimensional space for interpretation.
• Allosteric network visualization: Produces visual representations of inferred allosteric pathways from NMR chemical shift correlations.
• SPARKY plugin implementation: Implemented as plugins for NMRFAM-SPARKY enabling analysis within the SPARKY environment.

Scientific Applications:

• Allosteric mechanism mapping: Identifies pathways of structural communication within proteins and other biomolecular complexes.
• Enzyme functional transitions: Infers residue networks associated with enzyme activation or inhibition.
• Ligand binding analysis: Maps chemical shift changes correlated with ligand binding events.
• Conformational change characterization: Characterizes correlated chemical shift signatures linked to conformational transitions.

Methodology:

Analyzes NMR chemical shifts to detect correlated changes, using CHESCA for covariance analysis and CHESPA for projection of correlated shifts onto a lower-dimensional space, implemented as NMRFAM-SPARKY plugins.