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首页> 外文期刊>Journal of chemical theory and computation: JCTC >Computational Protocol to Evaluate Side-Chain Vicinal Spin-Spin Coupling Constants and Karplus Equation in Amino Acids: Alanine Dipeptide Model
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Computational Protocol to Evaluate Side-Chain Vicinal Spin-Spin Coupling Constants and Karplus Equation in Amino Acids: Alanine Dipeptide Model

机译:评估氨基酸中侧链偏心旋转旋转偶联常数和Karplus等式的计算方案:丙氨酸二肽模型

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摘要

A computational protocol has been applied to the alanine dipeptide model in order to study the side-chain conformation, the calculated spin spin coupling constants involved in the side-chain chi(1) angle, and theoretical extended Karplus equations developed for amino acids. Two structures within the backbone secondary conformation are used to predict coupling constants which in addition are employed to analyze the effect of those structures on the resulting Karplus extended equations. The number of Fourier coefficients to be included within the Karplus equations is critically analyzed. Wave function and density functional methods as well as different basis sets are compared to find appropriate Karplus coefficients in the most efficient way. The influence of exchange and correlation functionals and the solvent effect on the calculated couplings are considered.
机译:已经将计算协议应用于丙氨酸二肽模型,以研究侧链构象,所涉及侧链Chi(1)角的计算的旋转旋转耦合常数,以及为氨基酸开发的理论扩展Karplus方程。 骨干次级构象内的两个结构用于预测耦合常数,该耦合常数除了用于分析这些结构对所得的karplus扩展方程的效果。 在Karplus方程内包含的傅立叶系数的数量受到严格分析。 比较波函数和密度功能方法以及不同的基集,以最有效的方式找到适当的Karplus系数。 考虑了交换和相关函数的影响和对计算耦合的溶剂效应。

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