Atomic model of the Type-III Secretion System Needle
SOLID-STATE NMR
| NMR Experiment | ||||||||
|---|---|---|---|---|---|---|---|---|
| Experiment | Type | Sample Contents | Solvent | Ionic Strength | pH | Pressure | Temperature (K) | Spectrometer |
| 1 | 15N-13C PAIN-CP | 0.1 mM [U-100% 13C; U-100% 15N] PrgI protein | 90% H2O/10% D2O | 0 | 7.5 | ambient | 278 | |
| 2 | PDSD | 0.1 mM [U-100% 13C; U-100% 15N] PrgI protein | 90% H2O/10% D2O | 0 | 7.5 | ambient | 278 | |
| 3 | 15N-13C PAIN-CP | 0.1 mM [100% 1-13C glucose; U-100% 15N] PrgI protein | 90% H2O/10% D2O | 0 | 7.5 | ambient | 278 | |
| 4 | PDSD | 0.1 mM [100% 1-13C glucose; U-100% 15N] PrgI protein | 90% H2O/10% D2O | 0 | 7.5 | ambient | 278 | |
| 5 | 15N-13C PAIN-CP | 0.1 mM [100% 2-13C glucose; U-100% 15N] PrgI protein | 90% H2O/10% D2O | 0 | 7.5 | ambient | 278 | |
| 6 | PDSD | 0.1 mM [100% 2-13C glucose; U-100% 15N] PrgI protein | 90% H2O/10% D2O | 0 | 7.5 | ambient | 278 | |
| 7 | 15N-13C PAIN-CP | 0.1 mM [50% 1-13C glucose; 50% 2-13C glucose; U-100% 15N] PrgI protein | 90% H2O/10% D2O | 0 | 7.5 | ambient | 278 | |
| 8 | PDSD | 0.1 mM [50% 1-13C glucose; 50% 2-13C glucose; U-100% 15N] PrgI protein | 90% H2O/10% D2O | 0 | 7.5 | ambient | 278 | |
| NMR Spectrometer Information | |||
|---|---|---|---|
| Spectrometer | Manufacturer | Model | Field Strength |
| 1 | Bruker | AVANCE | 600 |
| 2 | Bruker | AVANCE | 850 |
| NMR Refinement | ||
|---|---|---|
| Method | Details | Software |
| Monte Carlo and gradient-based optimization | Monte-Carlo and gradient-based refinement in torsion angle space of the rigid body, backbone and sidechain degrees of freedom | Rosetta |
| NMR Ensemble Information | |
|---|---|
| Conformer Selection Criteria | target function |
| Conformers Calculated Total Number | 1000000 |
| Conformers Submitted Total Number | 10 |
| Representative Model | 1 (lowest energy) |
| Computation: NMR Software | ||||
|---|---|---|---|---|
| # | Classification | Version | Software Name | Author |
| 1 | structure calculations | Rosetta | 3.4 | Leaver-Fay, A. et al. |
| 2 | data analysis | CcpNmr | CCPN | |
| 3 | refinement | Rosetta | 3.4 | Leaver-Fay, A. et al. |














