4.3 Article

Unblocked statistical-coil tetrapeptides in aqueous solution: Quantum-chemical computation of the carbon-13 NMR chemical shifts

期刊

JOURNAL OF BIOMOLECULAR NMR
卷 26, 期 2, 页码 113-130

出版社

SPRINGER
DOI: 10.1023/A:1023524727484

关键词

ab initio (DFT) chemical shifts; clustering; random coils; statistical coils; vicinal coupling constant

向作者/读者索取更多资源

We recently reported a theoretical characterization of representative ensembles of statistical-coil conformations for tetrapeptides with unblocked termini in aqueous solution, at pH 7. The results showed good agreement between the computed Boltzmann-averaged and experimentally-determined values for both the vicinal coupling constants (3)J(NHalpha) and the alpha-proton chemical shifts. Here, we carry out a cluster analysis of the ensembles of conformations generated in that study, and use them to compute the Boltzmann-averaged values of the quantum-chemical C-13 chemical shifts for different amino acids in the unblocked tetrapeptides GGXA (where X stands for Phe, Arg, His, Glu, Ile, Lys, Gln, Tyr, Leu, Thr, Ala, Gly and Val). The values of the C-13 chemical shifts in these thirteen amino acids (for which experimental data are available) were computed by using Density Functional Theory with a 6-311+G(2d,p) basis set. Good agreement is found in terms of both the correlation coefficient (R) and standard deviations of the difference between the computed Bolztmann-averaged and the NMR-determined values for the C-13 chemical shifts. These results suggest that it may be possible to build a reliable theoretically-derived database of chemical shifts for statistical-coil residues. The results of the current study contribute to our understanding of the relations between chemical shifts, dihedral angles and vicinal coupling constants, (3)J(NHalpha). In addition, they can shed light as to how the statistical-coil conformation is related to the conformational preference of more structured states, such as the alpha-helical conformation.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.3
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据