NMRFAM-SPARKY
NMRFAM-SPARKY processes and analyzes biomolecular nuclear magnetic resonance (NMR) spectroscopic data to support peak analysis, chemical shift prediction, and structural assignments of proteins.
Key Features:
- Modernization and Integration: Re-implemented using current versions of Python and Tcl/Tk to support contemporary computational environments.
- Advanced NMR Analysis Tools: Provides NMR peak simulation and graphical assignment determination for interpreting complex spectra.
- Chemical Shift Prediction: Integrates chemical shift predictions from the PACSY database to accelerate protein side chain assignments.
- Automated Data Format Interconversion: Performs automated data format interconversion to interface with PECAN, PINE, TALOS-N, CS-Rosetta, SHIFTX2, and PONDEROSA-C/S.
Scientific Applications:
- Protein Structural Analysis: Facilitates structural elucidation of proteins through peak assignment and chemical shift analysis.
- Side Chain Assignment: Accelerates protein side chain assignments using integrated PACSY-based chemical shift predictions.
- Dynamics and Interaction Studies: Supports analysis of protein conformations, dynamics, and interactions via spectral interpretation.
- Integration with Structure Prediction: Enables interfacing with CS-Rosetta and TALOS-N for structure prediction and refinement.
- Structural Biology and Drug Discovery: Provides processed NMR data for downstream modeling workflows in basic structural biology and drug discovery.
Methodology:
Implemented in Python and Tcl/Tk; performs NMR peak simulation and graphical assignment determination; integrates PACSY chemical shift predictions; and automates data format interconversion with PECAN, PINE, TALOS-N, CS-Rosetta, SHIFTX2, and PONDEROSA-C/S.
Topics
Collections
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Added:
- 5/19/2018
- Last Updated:
- 3/26/2019
Operations
Data Inputs & Outputs
Peak detection
Publications
Lee W, Tonelli M, Markley JL. NMRFAM-SPARKY: enhanced software for biomolecular NMR spectroscopy. Bioinformatics. 2014;31(8):1325-1327. doi:10.1093/bioinformatics/btu830. PMID:25505092. PMCID:PMC4393527.