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Combining Evolutionary Covariance and NMR Data for Protein Structure Determination.

Yuanpeng Janet Huang1, Kelly P Brock2, Yojiro Ishida3

  • 1Center for Advanced Biotechnology and Medicine, Rutgers, The State University of New Jersey, Piscataway, NJ, United States; Department of Molecular Biology and Biochemistry, Rutgers, The State University of New Jersey, Piscataway, NJ, United States.

Methods in Enzymology
|January 7, 2019
PubMed
Summary

Determining protein structures using Nuclear Magnetic Resonance (NMR) is difficult for large proteins. A new hybrid method combines evolutionary couplings (ECs) with sparse NMR data for more accurate 3D protein structure determination.

Keywords:
AutoStructure/ASDPAutomated NMR data analysisEvolutionary couplingsHybrid methodsMaximum entropyMultiple sequence alignmentProtein NMR spectroscopyProtein families

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Area of Science:

  • Biochemistry
  • Structural Biology
  • Biophysics

Background:

  • Solution-state Nuclear Magnetic Resonance (NMR) is limited for proteins >20kDa due to sparse and ambiguous data from extensive perdeuteration.
  • Evolutionary sequence information and covariance analysis offer reliable residue-residue contact data (evolutionary couplings, ECs).

Purpose of the Study:

  • To develop and validate a hybrid EC-NMR method for accurate 3D protein structure determination.
  • To improve structural accuracy and completeness compared to sparse NMR data alone.

Main Methods:

  • Combined evolutionary couplings (ECs) derived from sequence data with sparse NMR data.
  • Utilized backbone resonance assignments for small proteins and both backbone and sidechain methyl assignments for larger proteins.
  • Validated the EC-NMR method against X-ray crystallography and conventional NMR structures.

Main Results:

  • The EC-NMR method determined accurate and complete 3D protein structures.
  • Demonstrated the method's applicability to soluble proteins, with potential for solid-state NMR and membrane proteins.
  • Showed ECs can identify alternative protein conformational states.

Conclusions:

  • The hybrid EC-NMR approach overcomes limitations of traditional NMR for large proteins.
  • This method enhances structural determination accuracy and completeness.
  • EC-NMR offers a powerful tool for diverse protein structure studies and conformational analysis.