13C shielding tensors of crystalline amino acids and peptides: Theoretical predictions based on periodic structure models
Article first published online: 10 SEP 2008
DOI: 10.1002/jcc.21118
Copyright © 2008 Wiley Periodicals, Inc.
Additional Information
How to Cite
Zheng, A., Liu, S.-B. and Deng, F. (2009), 13C shielding tensors of crystalline amino acids and peptides: Theoretical predictions based on periodic structure models. Journal of Computational Chemistry, 30: 222–235. doi: 10.1002/jcc.21118
Publication History
- Issue published online: 11 DEC 2008
- Article first published online: 10 SEP 2008
- Manuscript Accepted: 31 JUL 2008
- Manuscript Revised: 29 JUN 2008
- Manuscript Received: 5 FEB 2008
Funded by
- National Natural Science Foundation, China. Grant Numbers: 20703058, 20425311, 20673139
- National Basic Research Program, China. Grant Number: 2009CB918603
- National Science Council, Taiwan. Grant Number: NSC95-2113-M-001-040-MY3
- Abstract
- Article
- References
- Cited By
Keywords:
- amino acids;
- peptides;
- NMR chemical shielding tensors;
- DFT calculations;
- surrounding lattice effects;
- GIPAW method
Abstract
Precise theoretical predictions of NMR parameters are helpful for the spectroscopic identification of complicated biological molecules, especially for the carbon shielding tensors in amino acids. The 13C shielding tensors of various crystalline amino acids and peptides have been calculated using the gauge-including projector augmented wave (GIPAW) method based on two different periodic structure models, namely that deduced from available crystallographic data and that from theoretically optimized structures. The incorporation of surrounding lattice effects is found to be crucial in obtaining reliable predictions of 13C shielding tensors that are comparable to the experimental data. This is accomplished by refining the experimental crystallographic data of the amino acids and peptides at the GGA/PBE level by which more accurate intramolecular C
H bond lengths and intermolecular hydrogen-bonding interactions are obtained. Accordingly, more accurate predictions of 13C shielding tensors comparable to the experimental results (within a maximum deviation of ±10 ppm) were achieved, rendering more explicit 13C shielding tensors assignments for solid biological systems particularly for amino acids with multiple carboxyl carbons, such as asparagine, glutamine, and glutamic acid. © 2008 Wiley Periodicals, Inc. J Comput Chem, 2009

1096-987X/asset/JCC_centre.gif?v=1&s=b0d6b2f567f5e92bfd33499dcef2c15d54c9375d)
1096-987X/asset/cover.gif?v=1&s=4429aac2462ebd499c13b3d7fe983679c5767778)
