Mnova StereoFitter

NMR-Based 3D Conformational and Configurational Analysis

About Mnova StereoFitter

Mnova StereoFitter enables 3D structural and stereochemical analysis by combining experimental NMR observables, including NOEs, RDCs, J-couplings, chemical shifts, and anisotropic parameters, with predicted values to evaluate and rank stereochemical candidates. It generates conformers, computes theoretical NMR data, and fits them to experimental restraints using statistical scoring methods to identify the most probable 3D configuration or conformation.

3D NMR-Driven
Analysis
Analyze stereochemistry using multiple NMR observables to derive structurally consistent three-dimensional models
Automated Candidate Ranking
Evaluate and rank stereochemical candidates using probabilistic scoring based on experimental and predicted NMR data
Integrated Conformational Search
Automatically generate and assess conformer populations to support accurate stereochemical interpretation
Clear Visual Interpretation
Inspect structures, deviations, and probabilities through intuitive graphical tools for confident decision-making

Benefits

Rapid Structural Insights: Automating the generation, fitting, and evaluation of stereochemical candidates saves manual effort and significantly speeds structural determination. 

Confident 3D Structure Determination: Combining complementary NMR observables (NOEs, RDCs, J-couplings, and chemical shifts) enables confident resolution of challenging stereochemical and conformational problems beyond the reach of single data types.

Time Savings & Efficiency: StereoFitter enables chemists to locally assess plausible structures, ensuring computational hand-offs are focused, informed, and far more efficient.

Clear Results Visualization: Ordered results and interactive 3D models make it easy to present and defend structural conclusions. 

Publications

  1. Liu, Y., Navarro-Vázquez, A., R. Gil, R., Griesinger, C., E. Martin, G., Williamson, R. T. Application of anisotropic NMR parameters to the confirmation of molecular structure. Nature Protocols 14, 217-247 (2019). https://doi.org/10.1038/s41596-018-0091-9
  2. Navarro-Vázquez, A., R. Gil, R., Blinov, K., Computer-Assisted 3D Structure Elucidation (CASE-3D) of Natural Products Combining Isotropic and Anisotropic NMR Parameters. Journal of Natural Products 81, 203-210 (2018). https://doi.org/10.1021/acs.jnatprod.7b00926
  3. Liu, Y., Saurí, J., Mevers, E., Peczuh, M. W., Hiemstra, H., Clardy, J., Martin, G. E., Williamson, R. T. Unequivocal determination of complex molecular structures using anisotropic NMR measurements. Science 356, eaam5349(2017).  https://doi.org/10.1126/science.aam5349  



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