Crystallography Open Database
- COD Home
- Accessing COD Data
- Add Your Data
- Documentation
Information card for entry 4037192
Preview
Coordinates | 4037192.cif |
---|---|
Original paper (by DOI) | HTML |
Chemical name | 1:1[α/α-Nα-Bn-hydrazino] ester (S/S) |
---|---|
Formula | C22 H35 N3 O5 |
Calculated formula | C22 H35 N3 O5 |
SMILES | O(C(C)(C)C)C(=O)N[C@@H](CC(C)C)C(=O)NN(Cc1ccccc1)[C@@H](C)C(=O)OC |
Title of publication | Spontaneous Self-Assembly of Fully Protected Ester 1:1 [α/α-N<sup>α</sup>-Bn-hydrazino] Pseudodipeptides into a Twisted Parallel β-Sheet in the Crystal State. |
Authors of publication | Romero, Eugénie; Moussodia, Ralph-Olivier; Kriznik, Alexandre; Wenger, Emmanuel; Acherar, Samir; Jamart-Grégoire, Brigitte |
Journal of publication | The Journal of organic chemistry |
Year of publication | 2016 |
Journal volume | 81 |
Journal issue | 19 |
Pages of publication | 9037 - 9045 |
a | 12.284 Å |
b | 21.276 Å |
c | 38.207 Å |
α | 90° |
β | 90° |
γ | 90° |
Cell volume | 9985.57 Å3 |
Cell temperature | 100 ± 2 K |
Ambient diffraction temperature | 100 ± 2 K |
Number of distinct elements | 4 |
Space group number | 19 |
Hermann-Mauguin space group symbol | P 21 21 21 |
Hall space group symbol | P 2ac 2ab |
Residual factor for all reflections | 0.1324 |
Residual factor for significantly intense reflections | 0.1214 |
Weighted residual factors for significantly intense reflections | 0.3325 |
Weighted residual factors for all reflections included in the refinement | 0.355 |
Goodness-of-fit parameter for all reflections included in the refinement | 1.534 |
Diffraction radiation wavelength | 0.71073 Å |
Diffraction radiation type | MoKα |
Has coordinates | Yes |
Has disorder | No |
Has Fobs | No |
For the version history of this entry, please navigate to main COD server.
The link is: https://www.crystallography.net/4037192.html
All data in the COD and the database itself are dedicated to the
public domain and licensed under the
CC0
License
.
Users of the data should acknowledge the original authors of the
structural data.