Suppr超能文献

源自核磁共振数据的多构象肽动力学:一种新的搜索算法及其在抗真菌肽中的应用。

Multi-conformational peptide dynamics derived from NMR data: a new search algorithm and its application to antamanide.

作者信息

Brüschweiler R, Blackledge M, Ernst R R

机构信息

Laboratorium für Physikalische Chemie, Eidgenössische Technische Hochschule, Zürich, Switzerland.

出版信息

J Biomol NMR. 1991 May;1(1):3-11. doi: 10.1007/BF01874565.

Abstract

A search algorithm, called MEDUSA, is presented which allows the determination of multiple conformations of biomolecules in solution with exchange rate constants typically between 10(3) and 10(7) s-1 on the basis of experimental high-resolution NMR data. Multiples of structures are generated which are consistent as ensembles with NMR cross-relaxation rates (NOESY, ROESY), scalar J-coupling constants, and T1 rho measurements. The algorithm is applied to the cyclic decapeptide antamanide dissolved in chloroform. The characteristic radio-frequency field dependence of the T1 rho relaxation rates found for the NH protons of Val1 and Phe6 can be explained by a dynamical exchange between two structures.

摘要

本文提出了一种名为MEDUSA的搜索算法,该算法能够基于实验高分辨率核磁共振(NMR)数据,确定溶液中生物分子的多种构象,其交换速率常数通常在10³至10⁷ s⁻¹之间。生成的多个结构作为整体与NMR交叉弛豫率(NOESY、ROESY)、标量J耦合常数和T1ρ测量结果一致。该算法应用于溶解在氯仿中的环十肽抗霉素A。缬氨酸1和苯丙氨酸6的NH质子的T1ρ弛豫率所具有的特征射频场依赖性,可以通过两种结构之间的动态交换来解释。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验