SOLUTION NMR Experimental Data


Experimental Details
Sample Conditions
Sample Contents0.4 mM [U-100% 13C; U-100% 15N] HR7907F, 0.02 % sodium azide, 10 mM DTT, 5 mM calcium chloride, 100 mM sodium chloride, 1 x Proteinase Inhibitors, 20 mM MES, 50 uM DSS, 90% H2O/10% D2O
Solvent90% H2O/10% D2O
Ionic Strengthn/a
pH6.5
Pressure1
Temperature (K)298
Experiment(s):2D 1H-15N HSQC, (4,3)D GFT HABCAB(CO)NH, 3D (H)CCH-COSY aromatic, 2D 1H-13C HSQC, 3D HNCO, (4,3)D GFT CABCA(CO)NHN, (4,3)D GFT HNNCABCA, (4,3)D GFT HCCH-COSY alipahtic, 3D (H)CCH-TOCSY aliphatic, 3D 13C/15N-edited NOESY
Sample Contents0.3 mM [5% 13C; U-100% 15N] HR7907F, 0.02 % sodium azide, 10 mM DTT, 5 mM calcium chloride, 100 mM sodium chloride, 1 x Proteinase Inhibitors, 20 mM MES, 50 uM DSS, 90% H2O/10% D2O
Solvent90% H2O/10% D2O
Ionic Strengthn/a
pH6.5
Pressure1
Temperature (K)298
Experiment(s):2D 1H-13C HSQC
Spectrometer Information
Manufacturer Model Field Strength
Varian INOVA 750.0
Varian INOVA 600.0
NMR Refinement
Method simulated annealing
Details STRUCTURE DETERMINATION WAS PERFORMED BY RUNNING CYANA AND ASDP IN PARALLEL USING NOE-BASED CONSTRAINTS AND PHI AND PSI DIHEDRAL ANGLE CONSTRAINTS FROM TALOS+. CONSENSUS PEAK ASSIGNMENTS WERE SELECTED AND USED IN ITERATIVE REFINEMENT WITH CYANA. THE 20 CONFORMERS OUT OF 100 WITH THE LOWEST TARGET FUNCTION WERE FURTHER REFINED BY SIMULATED ANNEALING IN EXPLICIT WATER BATH USING THE PROGRAM CNS WITH PARAM19 FORCE FIELD NMR ENSEMBLE INFORMATION
NMR Ensemble Information
Conformer Selection Criteria target function
Conformers Calculated Total Number 100
Conformers Submitted Total Number 20
Representative Model Choice Rationale
1 lowest energy
Computation: NMR Software
# Classification Software Name Author
1 structure validation PSVS Bhattacharya, Montelione
2 peak picking Cara 1.8.4 Keller and Wuthrich
3 chemical shift assignment Cara 1.8.4 Keller and Wuthrich
4 refinement CYANA 3.0 Guntert, Mumenthaler and Wuthrich
5 geometry optimization CYANA 3.0 Guntert, Mumenthaler and Wuthrich
6 structure solution CYANA 3.0 Guntert, Mumenthaler and Wuthrich
7 data analysis AS-DP 1.0 Huang, Tejero, Powers and Montelione
8 refinement AS-DP 1.0 Huang, Tejero, Powers and Montelione
9 data analysis AutoAssign 2.3.0 Zimmerman, Moseley, Kulikowski and Montelione
10 chemical shift assignment AutoAssign 2.3.0 Zimmerman, Moseley, Kulikowski and Montelione
11 data analysis XEASY Bartels et al.
12 collection VNMRJ Varian
13 geometry optimization TALOS+ Shen, Cornilescu, Delaglio and Bax