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用于研究溶菌酶热稳定性的中心复合设计。

A central composite design to investigate the thermal stabilization of lysozyme.

作者信息

Branchu S, Forbes R T, York P, Nyqvist H

机构信息

Postgraduate Studies in Pharmaceutical Technology, The School of Pharmacy, University of Bradford, West Yorkshire, UK.

出版信息

Pharm Res. 1999 May;16(5):702-8. doi: 10.1023/a:1018876625126.

Abstract

PURPOSE

The formulation and processing of protein drugs requires the stabilization of the native, biologically active structure. Our aim was to investigate the thermal stability of a model protein, lysozyme, in the presence of two model excipients, sucrose and hydroxypropyl-beta-cyclodextrin (HP-beta-CD).

METHODS

We used high sensitivity differential scanning calorimetry (HSDSC) in combination with a central composite design (CCD). As indicators of protein thermal stability, the measured responses were the unfolding transition temperature (Tm), the onset temperature of the denaturation (To), and the extrapolated onset temperature (To,e).

RESULTS

A highly significant (F probability <0.001) statistical model resulted from analysis of the data The largest effect was due to pH (over the range 3.2-7.2), and the pH value that maximized Tm was 4.8. Several minor but significant effects were detected that were useful for mechanistic understanding. In particular, the effects of protein concentration and cyclodextrin concentration on Tm and To,e were found to be pH-dependent This was indicative of the partially hydrophilic nature of protein-protein interactions and protein-cyclodextrin interactions, respectively.

CONCLUSIONS

Response surface methodology (RSM) proved efficient for the modeling and optimization of lysozyme thermal stability as well as for the physical understanding of the protein-sugar-cyclodextrin system in aqueous solution.

摘要

目的

蛋白质药物的配方和加工需要稳定其天然的生物活性结构。我们的目的是研究在两种模型辅料蔗糖和羟丙基-β-环糊精(HP-β-CD)存在的情况下,模型蛋白溶菌酶的热稳定性。

方法

我们将高灵敏度差示扫描量热法(HSDSC)与中心复合设计(CCD)相结合。作为蛋白质热稳定性的指标,所测量的响应为解折叠转变温度(Tm)、变性起始温度(To)和外推起始温度(To,e)。

结果

对数据进行分析得出了一个高度显著(F概率<0.001)的统计模型。最大的影响因素是pH值(在3.2 - 7.2范围内),使Tm最大化的pH值为4.8。检测到了几个较小但显著的影响因素,这有助于从机理上理解。特别是,发现蛋白质浓度和环糊精浓度对Tm和To,e的影响取决于pH值,这分别表明了蛋白质 - 蛋白质相互作用和蛋白质 - 环糊精相互作用的部分亲水性本质。

结论

响应面法(RSM)被证明在溶菌酶热稳定性的建模和优化以及对水溶液中蛋白质 - 糖 - 环糊精系统的物理理解方面是有效的。

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