Suppr超能文献

使用对小温度波动的频率响应来识别两步化学机制并确定热动力学参数。

Identification of two-step chemical mechanisms and determination of thermokinetic parameters using frequency responses to small temperature oscillations.

机构信息

Université Pierre et Marie Curie-Paris 6, Laboratoire de Physique Théorique de la Matière Condensée, UMR 7600 LPTMC, 4 place Jussieu, case courrier 121, 75252 Paris cedex 05, France.

出版信息

J Chem Phys. 2013 Jun 28;138(24):244109. doi: 10.1063/1.4811288.

Abstract

Increased focus on kinetic signatures in biology, coupled with the lack of simple tools for chemical dynamics characterization, lead us to develop an efficient method for mechanism identification. A small thermal modulation is used to reveal chemical dynamics, which makes the technique compatible with in cellulo imaging. Then, the detection of concentration oscillations in an appropriate frequency range followed by a judicious analytical treatment of the data is sufficient to determine the number of chemical characteristic times, the reaction mechanism, and the full set of associated rate constants and enthalpies of reaction. To illustrate the scope of the method, dimeric protein folding is chosen as a biologically relevant example of nonlinear mechanism with one or two characteristic times.

摘要

在生物学中越来越关注动力学特征,再加上缺乏化学动力学特征的简单工具,促使我们开发出一种有效的机制识别方法。我们使用微小的热调制来揭示化学动力学,这使得该技术与细胞内成像兼容。然后,检测适当频率范围内的浓度振荡,然后对数据进行明智的分析处理,就足以确定化学特征时间的数量、反应机制以及整套相关的速率常数和反应焓。为了说明该方法的范围,我们选择二聚体蛋白质折叠作为具有一个或两个特征时间的非线性机制的生物学相关示例。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验