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系统方法寻找蛋白质诱导 DNA 从 B-Z 转变的弛豫色散数据的全局最小值。

Systematic Approach to Find the Global Minimum of Relaxation Dispersion Data for Protein-Induced B-Z Transition of DNA.

机构信息

Department of Chemistry and RINS, Gyeongsang National University, Gyeongnam 52828, Korea.

Division of Magnetic Resonance, Korea Basic Science Institute, Ochang, Chungbuk 28119, Korea.

出版信息

Int J Mol Sci. 2021 Mar 29;22(7):3517. doi: 10.3390/ijms22073517.

Abstract

Carr-Purcell-Meiboom-Gill (CPMG) relaxation dispersion spectroscopy is commonly used for quantifying conformational changes of protein in μs-to-ms timescale transitions. To elucidate the dynamics and mechanism of protein binding, parameters implementing CPMG relaxation dispersion results must be appropriately determined. Building an analytical model for multi-state transitions is particularly complex. In this study, we developed a new global search algorithm that incorporates a random search approach combined with a field-dependent global parameterization method. The robust inter-dependence of the parameters carrying out the global search for individual residues (GSIR) or the global search for total residues (GSTR) provides information on the global minimum of the conformational transition process of the Zα domain of human ADAR1 (hZα)-DNA complex. The global search results indicated that a α-helical segment of hZα provided the main contribution to the three-state conformational changes of a hZα-DNA complex with a slow B-Z exchange process. The two global exchange rate constants, and , were found to be 844 and 9.8 s, respectively, in agreement with two regimes of residue-dependent chemical shift differences-the "dominant oscillatory regime" and "semi-oscillatory regime". We anticipate that our global search approach will lead to the development of quantification methods for conformational changes not only in Z-DNA binding protein (ZBP) binding interactions but also in various protein binding processes.

摘要

Carr-Purcell-Meiboom-Gill(CPMG)弛豫分散光谱学通常用于定量研究蛋白质在微秒到毫秒时间尺度转变中的构象变化。为了阐明蛋白质结合的动力学和机制,必须适当确定实施 CPMG 弛豫分散结果的参数。构建多态跃迁的分析模型特别复杂。在这项研究中,我们开发了一种新的全局搜索算法,该算法结合了随机搜索方法和依赖于场的全局参数化方法。执行单个残基全局搜索(GSIR)或总残基全局搜索(GSTR)的参数之间的稳健相互依赖性为人类 ADAR1(hZα)-DNA 复合物的 Zα 结构域构象转变的全局最小值提供了信息。全局搜索结果表明,hZα 的一个α-螺旋片段为 hZα-DNA 复合物的三态构象变化提供了主要贡献,该复合物具有缓慢的 B-Z 交换过程。两个全局交换速率常数, 和 ,分别为 844 和 9.8 s,与残基依赖的化学位移差异的两个区域一致——“主要振荡区域”和“半振荡区域”。我们预计,我们的全局搜索方法将不仅导致 Z-DNA 结合蛋白(ZBP)结合相互作用,而且还导致各种蛋白质结合过程中的构象变化的定量方法的发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6bbb/8037647/a36ad882d316/ijms-22-03517-g001.jpg

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