Rapid assessment of protein structural stability and fold validation via NMR.
In structural proteomics, it is necessary to efficiently screen in a high-throughput manner for the presence of stable structures in proteins that can be subjected to subsequent structure determination by X-ray or NMR spectroscopy. Here we illustrate that the (1)H chemical distribution in a protein as detected by (1)H NMR spectroscopy can be used to probe protein structural stability (e.g., the presence of stable protein structures) of proteins in solution. Based on experimental data obtained on well-structured proteins and proteins that exist in a molten globule state or a partially folded alpha-helical state, a well-defined threshold exists that can be used as a quantitative benchmark for protein structural stability (e.g., foldedness) in solution. Additionally, in this chapter we describe a largely automated strategy for rapid fold validation and structure-based backbone signal assignment. Our methodology is based on a limited number of NMR experiments (e.g., HNCA and 3D NOESY-HSQC) and performs a Monte Carlo-type optimization. The novel feature of the method is the opportunity to screen for structural fragments (e.g., template scanning). The performance of this new validation tool is demonstrated with applications to a diverse set of proteins.
Hoffmann
Bernd
B
Institute of Theoretical Chemistry and Molecular Structural Biology, University of Vienna, Austria.
Eichmüller
Christian
C
Steinhauser
Othmar
O
Konrat
Robert
R
D002118:Calcium / Q000378:metabolism; D003627:Data Interpretation, Statistical; D004795:Enzyme Stability; D007768:Lactalbumin / Q000737:chemistry / Q000378:metabolism; D009682:Magnetic Resonance Spectroscopy / Q000379:methods*; D009010:Monte Carlo Method; D017510:Protein Folding; D017434:Protein Structure, Tertiary
D007768:Lactalbumin; D002118:Calcium