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Xplor-NIH: Better parameters and protocols for NMR protein structure determination.
Guillermo A Bermejo1, Nico Tjandra2, G Marius Clore1
1Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA.
Protein Science : a Publication of the Protein Society
|March 19, 2024
Summary
This study updates Xplor-NIH parameters for protein structure determination, improving accuracy and validation. Enhanced protein models derived from nuclear magnetic resonance data show superior performance.
Area of Science:
- Biomolecular structure determination
- Computational biology
- Structural bioinformatics
Background:
- Accurate protein structure determination is crucial for understanding biological function.
- Existing computational packages require continuous refinement of parameters for improved accuracy.
- Xplor-NIH is a widely used package for biomolecular structure calculations.
Purpose of the Study:
- To update protein covalent geometry and atomic radii parameters in Xplor-NIH.
- To enhance the accuracy and validation of protein structures determined using Xplor-NIH.
- To assess the performance of the updated Xplor-NIH package against previous versions and experimental models.
Main Methods:
- Updated Xplor-NIH package with new covalent geometry and atomic radii parameters.
- Incorporated improved treatment for non-bonded interactions and a gyration volume term.
- Performed structure calculations on 30 proteins using nuclear magnetic resonance (NMR) restraints.
- Validated structures using modern criteria, including Protein Data Bank standards.
Main Results:
- The updated Xplor-NIH parameters demonstrate superior performance in structure calculations.
- Structures determined with the new parameters show improved accuracy and validation metrics.
- Xplor-NIH-derived structures favorably compare with original NMR models.
- Enhanced treatment of specific non-bonded interactions improved results.
Conclusions:
- The updated Xplor-NIH parameters significantly enhance the accuracy of protein structure determination.
- The refined package provides more reliable biomolecular models from NMR data.
- This work contributes to advancing computational approaches in structural biology.

