Veliparambil Subrahmanian, ManuVeglia, GianluigiMelacini, GiuseppeL Kovrigin, EvgeniiLoria, J Patrick2025-02-132025-02-132025-02-13https://hdl.handle.net/11299/269943Carr-Purcell-Meiboom-Gill Relaxation Dispersion (CPMG-RD) experiments are highly effective for probing micro- to millisecond conformational exchange processes in proteins. By performing experiments at multiple magnetic field strengths , one can extract dynamic parameters such as exchange rates, population fractions, and chemical shift differences. PySyncDyn is a comprehensive Python-based toolkit that automates the entire workflow from raw data processing to the generation of Dynamic Correlation (SyncDyn) maps. The workflow includes the calculation of effective transverse relaxation rates , pairwise fitting using the Carver-Richards model, generation of correlation maps, and computation of a SyncDyn Score that quantifies the extent of correlated dynamics across the protein. In addition, the Score2Pymol.py script allows visualization of these scores on the three-dimensional structure of the protein in PyMOL.CC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/NMRCPMG Relaxation DispersionAllosteryChemical ExchangeDataset