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Derivatization of Protein Crystals with I3C using Random Microseed Matrix Screening
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CING: an integrated residue-based structure validation program suite.

Jurgen F Doreleijers1, Alan W Sousa da Silva, Elmar Krieger

  • 1CMBI, Radboud University Medical Centre, Geert Grooteplein 26-28, 6525 GA Nijmegen, The Netherlands.

Journal of Biomolecular NMR
|September 19, 2012
PubMed
Summary
This summary is machine-generated.

CING (Common Interface for NMR Structure Generation) offers integrated validation for NMR structural ensembles. It compares models against experimental data, providing a clear score to identify potential structural inaccuracies.

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Area of Science:

  • Biochemistry
  • Structural Biology
  • Computational Chemistry

Background:

  • Nuclear Magnetic Resonance (NMR) spectroscopy is crucial for determining protein structures.
  • Validating the accuracy of NMR-derived structural ensembles is essential for reliable biological interpretation.
  • Current validation methods can be fragmented and lack integrated analysis.

Purpose of the Study:

  • To develop and present CING (Common Interface for NMR Structure Generation), an integrated suite for NMR structural ensemble validation.
  • To provide a residue-based validation system that incorporates experimental restraints and empirical data.
  • To create a user-friendly web server for accessible NMR structure validation.

Main Methods:

  • Integrated validation of NMR structural ensembles using experimental restraints and input data.
  • Comparison of NMR-derived models with empirical data, including chemical shifts, distance, and dihedral restraints.
  • Development of internal validation routines and integration of external validation programs.
  • Visualization of validation results in a dynamic Web 2.0 report with a red-orange-green scoring system.

Main Results:

  • CING provides a residue-based, integrated validation of NMR structural ensembles.
  • A red-orange-green scoring system highlights residues and restraints requiring further investigation.
  • Specific score thresholds (green < ~20%, red > ~50%) indicate poorly modeled structures.
  • The iCing web server offers publically accessible, secure NMR data analysis.

Conclusions:

  • CING offers a comprehensive and integrated approach to validating NMR structural ensembles.
  • The system effectively identifies potential inaccuracies in structural models.
  • The iCing web server facilitates wider accessibility and application of NMR structure validation.