SOLUTION NMR

NMR Experiment
Experiment Type Sample Contents Ionic Strength Solvent pH Pressure Temprature (K)
1 2D 1H-15N HSQC 370 uM [U-13C; U-15N] Chlorotoxin, 20 mM sodium phosphate, 5 % D2O, 95% H2O/5% D2O 20 95% H2O/5% D2O 5.8 1 298
2 3D HNCO 370 uM [U-13C; U-15N] Chlorotoxin, 20 mM sodium phosphate, 5 % D2O, 95% H2O/5% D2O 20 95% H2O/5% D2O 5.8 1 298
3 3D HNCACB 370 uM [U-13C; U-15N] Chlorotoxin, 20 mM sodium phosphate, 5 % D2O, 95% H2O/5% D2O 20 95% H2O/5% D2O 5.8 1 298
4 3D HBHA(CO)NH 370 uM [U-13C; U-15N] Chlorotoxin, 20 mM sodium phosphate, 5 % D2O, 95% H2O/5% D2O 20 95% H2O/5% D2O 5.8 1 298
5 3D CBCA(CO)NH 370 uM [U-13C; U-15N] Chlorotoxin, 20 mM sodium phosphate, 5 % D2O, 95% H2O/5% D2O 20 95% H2O/5% D2O 5.8 1 298
9 3D C(CO)NH 370 uM [U-13C; U-15N] Chlorotoxin, 20 mM sodium phosphate, 5 % D2O, 95% H2O/5% D2O 20 95% H2O/5% D2O 5.8 1 298
8 3D H(CCO)NH 370 uM [U-13C; U-15N] Chlorotoxin, 20 mM sodium phosphate, 5 % D2O, 95% H2O/5% D2O 20 95% H2O/5% D2O 5.8 1 298
7 3D 1H-15N NOESY 370 uM [U-13C; U-15N] Chlorotoxin, 20 mM sodium phosphate, 5 % D2O, 95% H2O/5% D2O 20 95% H2O/5% D2O 5.8 1 298
10 3D 1H-13C NOESY aliphatic 370 uM [U-13C; U-15N] Chlorotoxin, 20 mM sodium phosphate, 5 % D2O, 95% H2O/5% D2O 20 95% H2O/5% D2O 5.8 1 298
6 3D 1H-13C NOESY aromatic 370 uM [U-13C; U-15N] Chlorotoxin, 20 mM sodium phosphate, 5 % D2O, 95% H2O/5% D2O 20 95% H2O/5% D2O 5.8 1 298
NMR Spectrometer Information
Spectrometer Manufacturer Model Field Strength
1 Bruker AVANCE III 900
NMR Refinement
Method Details Software
torsion angle dynamics Automated NOE assignment 3
NMR Ensemble Information
Conformer Selection Criteria target function
Conformers Calculated Total Number 200
Conformers Submitted Total Number 20
Representative Model 1 (lowest energy)
Computation: NMR Software
# Classification Version Software Name Author
1 collection 3.1 TopSpin Bruker Biospin
2 processing 3 Rowland NMR Toolkit Jeffrey C. Hoch, Alan S. Stern University of Connecticut
6 chemical shift assignment 2 Analysis CCPN
5 data analysis N TALOS Cornilescu, Delaglio and Bax
3 geometry optimization 3 CYANA Guntert, Mumenthaler and Wuthrich