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辅料氨基酸的计算分子描述符与实验观察到的溶菌酶热稳定性之间的相关性。

Correlation between calculated molecular descriptors of excipient amino acids and experimentally observed thermal stability of lysozyme.

作者信息

Meng-Lund Helena, Friis Natascha, van de Weert Marco, Rantanen Jukka, Poso Antti, Grohganz Holger, Jorgensen Lene

机构信息

Department of Pharmacy, Faculty of Health and Medical Sciences, University of Copenhagen, Universitetsparken 2, 2100 Copenhagen, Denmark.

University of Eastern Finland, School of Pharmacy, Yliopistonranta 1, P.O. Box 1627, FI-70211 Kuopio, Finland; University Hospital Tübingen, Dept. of Internal Medicine I, Division of Translational Gastrointestinal Oncology, Otfried-Müller-Strasse 10, 72076 Tübingen, Germany.

出版信息

Int J Pharm. 2017 May 15;523(1):238-245. doi: 10.1016/j.ijpharm.2017.03.043. Epub 2017 Mar 21.

Abstract

A quantitative structure-property relationship (QSPR) between protein stability and the physicochemical properties of excipients was investigated to enable a more rational choice of stabilizing excipients than prior knowledge. The thermal transition temperature and aggregation time were determined for lysozyme in combination with 13 different amino acids using high throughput fluorescence spectroscopy and kinetic static light scattering measurements. On the theoretical side, around 200 2D and 3D molecular descriptors were calculated based on the amino acids' chemical structure. Multivariate data analysis was applied to correlate the descriptors with the experimental results. It was possible to identify descriptors, i.e. amino acids properties, with a positive influence on either transition temperature or aggregation onset time, or both. A high number of hydrogen bond acceptor moieties was the most prominent stabilizing factor for both responses, whereas hydrophilic surface properties and high molecular mass density mostly had a positive influence on the unfolding temperature. A high partition coefficient (logP(o/w)) was identified as the most prominent destabilizing factor for both responses. The QSPR shows good correlation between calculated molecular descriptors and the measured stabilizing effect of amino acids on lysozyme.

摘要

研究了蛋白质稳定性与辅料物理化学性质之间的定量结构-性质关系(QSPR),以便能比凭先验知识更合理地选择稳定辅料。使用高通量荧光光谱法和动力学静态光散射测量法,测定了溶菌酶与13种不同氨基酸组合时的热转变温度和聚集时间。在理论方面,基于氨基酸的化学结构计算了约200个二维和三维分子描述符。应用多变量数据分析将这些描述符与实验结果相关联。有可能识别出对转变温度或聚集起始时间或两者都有积极影响的描述符,即氨基酸性质。大量氢键受体基团是对两种响应最显著的稳定因素,而亲水性表面性质和高分子质量密度大多对解折叠温度有积极影响。高分配系数(logP(o/w))被确定为对两种响应最显著的去稳定因素。QSPR表明,计算得到的分子描述符与所测量的氨基酸对溶菌酶的稳定作用之间具有良好的相关性。

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