2MJ7
Solution NMR structure of beta-adaptin appendage domain of human adaptor protein complex 4 subunit beta, Northeast Structural Genomics Consortium (NESG) Target HR8998C
SOLUTION NMR
NMR Experiment | ||||||||
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Experiment | Type | Sample Contents | Solvent | Ionic Strength | pH | Pressure | Temperature (K) | Spectrometer |
1 | 2D 1H-15N HSQC | 0.2 mM HR8998C NC | 90% H2O/10% D2O | |||||
2 | 2D 1H-13C HSQC aliphatic | 0.2 mM HR8998C NC | 90% H2O/10% D2O | |||||
3 | 3D HNCO | 0.2 mM HR8998C NC | 90% H2O/10% D2O | |||||
4 | 3D CBCA(CO)NH | 0.2 mM HR8998C NC | 90% H2O/10% D2O | |||||
5 | 3D HNCACB | 0.2 mM HR8998C NC | 90% H2O/10% D2O | |||||
6 | 3D HN(CA)CO | 0.2 mM HR8998C NC | 90% H2O/10% D2O | |||||
7 | 3D simutaneous 13C-aromatic,13C-aliphatic,15N edited 1H-1H NOESY | 0.2 mM HR8998C NC | 90% H2O/10% D2O | |||||
8 | 2D 1H-13C HSQC aromatic | 0.2 mM HR8998C NC | 90% H2O/10% D2O | |||||
9 | 3D HBHA(CO)NH | 0.2 mM HR8998C NC | 90% H2O/10% D2O | |||||
10 | 3D HA(CO)NH | 0.2 mM HR8998C NC | 90% H2O/10% D2O | |||||
11 | 3D HNCA | 0.2 mM HR8998C NC | 90% H2O/10% D2O | |||||
12 | 3D (H)CCH-TOCSY aliphatic | 0.2 mM HR8998C NC | 90% H2O/10% D2O | |||||
13 | 3D (H)CCH-COSY aliphatic | 0.2 mM HR8998C NC | 90% H2O/10% D2O | |||||
14 | 3D (H)CCH-COSY aromatic | 0.2 mM HR8998C NC | 90% H2O/10% D2O | |||||
15 | 2D 1H-15N long-range HSQC | 0.2 mM HR8998C NC5, Pf1 phage | 80% H2O/20% D2O | |||||
16 | 2D 1H-15N HSQC | 0.2 mM HR8998C NC5, Pf1 phage | 80% H2O/20% D2O | 6.5 | ambient | 295 | ||
17 | 2D 1H-15N HSQC | 0.2 mM HR8998C NC5, Pf1 phage | 80% H2O/20% D2O | |||||
18 | 2D 1H-15N HSQC | 0.2 mM HR8998C NC5, Pf1 phage | 80% H2O/20% D2O | |||||
19 | 2D 1H-15N HSQC | 0.2 mM HR8998C NC5, Pf1 phage | 80% H2O/20% D2O | |||||
20 | 2D 1H-15N HSQC | 0.2 mM HR8998C NC5, Pf1 phage | 80% H2O/20% D2O | |||||
21 | 2D 1H-15N HSQC | 0.2 mM HR8998C NC5, Pf1 phage | 80% H2O/20% D2O | |||||
22 | 2D 1H-15N J-modulated HSQC | 0.2 mM HR8998C NC5, 4% PEG/hexanol | 80% H2O/20% D2O | 6.5 | ambient | 295 | ||
23 | 2D 1H-15N J-modulated HSQC | 0.2 mM HR8998C NC5, 4% PEG/hexanol | 80% H2O/20% D2O | 6.5 | ambient | 295 | ||
24 | 2D 1H-15N J-modulated HSQC | 0.2 mM HR8998C NC5, 4% PEG/hexanol | 80% H2O/20% D2O | 6.5 | ambient | 295 | ||
25 | 2D 1H-13C CT-HSQC methyl | 0.4 mM HR8998C NC5 | 90% H2O/10% D2O |
NMR Spectrometer Information | |||
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Spectrometer | Manufacturer | Model | Field Strength |
1 | Varian | INOVA | 750 |
2 | Agilent | DD2 | 600 |
3 | Varian | INOVA | 600 |
NMR Refinement | ||
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Method | Details | Software |
simulated annealing | Structure determination was performed by running CYANA and ASDP in parallel using NOE-based constraints. Consensus peak assignments were selected and used in iterative refinement with CYANA, with PHI, PSI and CHI1 dihedral angle constraints from TALOSN, as well as RDC constraints from two alignment media added at later stages. 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. | CNS |
NMR Ensemble Information | |
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Conformer Selection Criteria | target function |
Conformers Calculated Total Number | 100 |
Conformers Submitted Total Number | 20 |
Representative Model | 1 (lowest energy) |
Computation: NMR Software | ||||
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# | Classification | Version | Software Name | Author |
1 | refinement | CNS | 1.3 | Brunger, Adams, Clore, Gros, Nilges and Read |
2 | structure solution | CNS | 1.3 | Brunger, Adams, Clore, Gros, Nilges and Read |
3 | geometry optimization | CNS | 1.3 | Brunger, Adams, Clore, Gros, Nilges and Read |
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 | structure solution | AS-DP | 1.0 | Huang, Tejero, Powers and Montelione |
10 | data analysis | AutoAssign | 2.3.0 | Zimmerman, Moseley, Kulikowski and Montelione |
11 | chemical shift assignment | AutoAssign | 2.3.0 | Zimmerman, Moseley, Kulikowski and Montelione |
12 | processing | NMRPipe | Delaglio, Grzesiek, Vuister, Zhu, Pfeifer and Bax | |
13 | data analysis | XEASY | Bartels et al. | |
14 | processing | PROSA | 6.4 | Guntert |
15 | collection | VnmrJ | Varian | |
16 | data analysis | Sparky | Goddard | |
17 | geometry optimization | TALOSN | Shen, Cornilescu, Delaglio and Bax | |
18 | chemical shift assignment | CARA | 1.8.4 | Keller and Wuthrich |
19 | data analysis | CARA | 1.8.4 | Keller and Wuthrich |
20 | peak picking | CARA | 1.8.4 | Keller and Wuthrich |
21 | structure validation | PSVS | 1.5 | Bhattacharya, Montelione |