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NMR solution structure of peptidyl-tRNA hydrolase domain protein from Pseudomonas syringae pv. tomato. Northeast Structural Genomics Consortium target PsR211
NMR Experiment Experiment Type Sample Contents Solvent Ionic Strength pH Pressure Temperature (K) Spectrometer 1 2D 1H-15N HSQC 1.28 mM [U-100% 13C; U-100% 15N] Peptidyl-tRNA hydrolase domain protein 90% H2O/10% D2O 100 5.5 ambient 298 2 2D 1H-13C HSQC 1.28 mM [U-100% 13C; U-100% 15N] Peptidyl-tRNA hydrolase domain protein 90% H2O/10% D2O 100 5.5 ambient 298 3 4,3D GFT CABCACONHN 1.28 mM [U-100% 13C; U-100% 15N] Peptidyl-tRNA hydrolase domain protein 90% H2O/10% D2O 100 5.5 ambient 298 4 4,3D GFT HNNCABCA 1.28 mM [U-100% 13C; U-100% 15N] Peptidyl-tRNA hydrolase domain protein 90% H2O/10% D2O 100 5.5 ambient 298 5 4,3D GFT HCCH COSY 1.28 mM [U-100% 13C; U-100% 15N] Peptidyl-tRNA hydrolase domain protein 90% H2O/10% D2O 100 5.5 ambient 298 6 3D HCCH-COSY 1.28 mM [U-100% 13C; U-100% 15N] Peptidyl-tRNA hydrolase domain protein 90% H2O/10% D2O 100 5.5 ambient 298 7 4,3D GFT HABCABCONHN 1.28 mM [U-100% 13C; U-100% 15N] Peptidyl-tRNA hydrolase domain protein 90% H2O/10% D2O 100 5.5 ambient 298 8 3D sim NOESY 1.28 mM [U-100% 13C; U-100% 15N] Peptidyl-tRNA hydrolase domain protein 90% H2O/10% D2O 100 5.5 ambient 298
NMR Spectrometer Information Spectrometer Manufacturer Model Field Strength 1 Varian INOVA 750
NMR Refinement Method Details Software simulated annealing VnmrJ
NMR Ensemble Information Conformer Selection Criteria structures with the lowest energy Conformers Calculated Total Number 100 Conformers Submitted Total Number 20 Representative Model 1 (lowest energy)
Computation: NMR Software # Classification Version Software Name Author 1 collection VnmrJ Varian 2 processing NMRPipe Delaglio, Grzesiek, Vuister, Zhu, Pfeifer and Bax 3 data analysis XEASY Bartels et al. 4 data analysis TALOS Cornilescu, Delaglio and Bax 5 data analysis DYANA Guntert, Mumenthaler and Wuthrich 6 chemical shift assignment CYANA Guntert, Mumenthaler and Wuthrich 7 chemical shift assignment AutoAssign Zimmerman, Moseley, Kulikowski and Montelione 8 chemical shift assignment AutoStructure Huang, Tejero, Powers and Montelione 9 refinement CNS Brunger, Adams, Clore, Gros, Nilges and Read 10 data analysis MOLMOL Koradi, Billeter and Wuthrich