Nuclear Magnetic Resonance (NMR) relaxation experiments provide a powerful residue-resolved access to biomolecular dynamics across a wide range of timescales. Unfortunately, the quantitative analysis of the relaxation data remains distributed across specialised and often disconnected tools. Here, we present CcpNmr AnalysisDynamics, the latest addition to the CcpNmr Analysis program suite, providing an integrated framework for relaxation analysis, exchange-aware interpretation and dynamical modelling. The platform unifies relaxation-rate extraction, diagnostic validation, model-based analysis and structural visualisation within reproducible workflows, while supporting future extension through a robust application programming interface and plugin architecture. We introduce ModelAnalysis (ModA), a new analysis engine based on the Lipari-Szabo formalism that incorporates robust optimisation, uncertainty estimation and model-selection strategies designed for heterogeneous relaxation datasets. The framework also supports exchange-focused analysis and integration with specialised external modelling tools, allowing relaxation anomalies to be followed from initial detection to more detailed interpretation. The applicability and reliability of AnalysisDynamics are demonstrated through systematic re-analysis and validation of curated relaxation datasets from the Biological Magnetic Resonance Data Bank. These analyses enable assessment of data consistency, dynamic parameters and model reliability across magnetic fields, providing a reproducible route from NMR relaxation measurements to structure-linked interpretation of biomolecular dynamics.
Mureddu, L. G., Brooksbank, E. J., Vuister, G. W., Muskett, F. W.
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