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一种系统且高效的方法,用于估算具有任何氨基酸序列的线性肽和蛋白质离子的振动频率,以计算赖斯 - 拉姆施佩格 - 卡塞尔 - 马库斯速率常数。

A systematic and efficient method to estimate the vibrational frequencies of linear peptide and protein ions with any amino acid sequence for the calculation of Rice-Ramsperger-Kassel-Marcus rate constant.

作者信息

Moon Jeong Hee, Oh Joo Yeon, Kim Myung Soo

机构信息

Korea Research Institute of Bioscience and Biotechnology, Daejeon, Korea.

出版信息

J Am Soc Mass Spectrom. 2006 Dec;17(12):1749-57. doi: 10.1016/j.jasms.2006.08.001. Epub 2006 Sep 15.

DOI:10.1016/j.jasms.2006.08.001
PMID:16978873
Abstract

A systematic method to automatically estimate the vibrational frequency sets of linear peptide and protein ions with any amino acid sequence, which is needed in Rice-Ramsperger-Kassel-Marcus (RRKM) calculations for dissociation of these ions, has been developed. The method starts from the frequencies of free amino acids calculated quantum chemically at the DFT/B3LYP/6-31G** level. Some of these were systematically eliminated to get fictitious sets of frequencies for each amino acid at the C-terminus, N-terminus, and inside the chain. By collecting these sets as needed for a specified amino acid sequence and adding vibrations appearing upon peptide bond formation and protonation, a complete set of vibrational frequencies was obtained. Other conditions for RRKM calculations have also been systematically specified. RRKM calculations performed under various conditions have shown that the present method can be useful for an order of magnitude estimation of a statistical rate constant even at low internal energy region. The fact that arbitrariness involved in constructing an entire frequency set simply through spectral correlation can be avoided, and that any protein ion can be handled systematically and rapidly once its sequence and the number of protons attached are specified, are the main advantages of the present method.

摘要

已经开发出一种系统方法,用于自动估计具有任何氨基酸序列的线性肽和蛋白质离子的振动频率集,这是这些离子解离的赖斯-拉姆施泰格-卡塞尔-马库斯(RRKM)计算所必需的。该方法从在DFT/B3LYP/6-31G**水平上通过量子化学计算得到的游离氨基酸频率开始。其中一些频率被系统地消除,以得到每个氨基酸在C端、N端和链内的虚拟频率集。通过根据指定的氨基酸序列按需收集这些频率集,并添加肽键形成和质子化时出现的振动,获得了一套完整的振动频率。RRKM计算的其他条件也已被系统地指定。在各种条件下进行的RRKM计算表明,即使在低内能区域,本方法对于统计速率常数的量级估计也可能是有用的。本方法的主要优点是,可以避免仅通过光谱相关性构建整个频率集时所涉及的任意性,并且一旦指定了蛋白质离子的序列和附着的质子数,就可以系统且快速地处理任何蛋白质离子。

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