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基于网络的蛋白质表面展示和 pH 依赖性性质,用于评估生物治疗药物的可开发性。

Web-based display of protein surface and pH-dependent properties for assessing the developability of biotherapeutics.

机构信息

School of Chemistry, Manchester Institute of Biotechnology, The University of Manchester, 131 Princess Street, Manchester, M1 7DN, UK.

出版信息

Sci Rep. 2019 Feb 13;9(1):1969. doi: 10.1038/s41598-018-36950-8.

Abstract

Protein instability leads to reversible self-association and irreversible aggregation which is a major concern for developing new biopharmaceutical leads. Protein solution behaviour is dictated by the physicochemical properties of the protein and the solution. Optimising protein solutions through experimental screens and targeted protein engineering can be a difficult and time consuming process. Here, we describe development of the protein-sol web server, which was previously restricted to protein solubility prediction from amino acid sequence. Tools are presented for calculating and mapping patches of hydrophobicity and charge on the protein surface. In addition, predictions of folded state stability and net charge are displayed as a heatmap for a range of pH and ionic strength conditions. Tools are evaluated in the context of antibodies, their fragments and interactions. Surprisingly, antibody-antigen interfaces are, on average, at least as polar as Fab surfaces. This benchmarking process provides the user with thresholds with which to assess non-polar surface patches, and possible solubility implications, in proteins of interest. Stability heatmaps compare favourably with experimental data for CH2 and CH3 domains. Display and quantification of surface polarity and pH/ionic strength dependence will be useful generally for investigation of protein biophysics.

摘要

蛋白质不稳定性会导致可逆的自缔合和不可逆的聚集,这是开发新的生物制药先导物的主要关注点。蛋白质溶液的行为取决于蛋白质和溶液的物理化学性质。通过实验筛选和有针对性的蛋白质工程优化蛋白质溶液可能是一个困难且耗时的过程。在这里,我们描述了蛋白质-sol 网络服务器的开发,该服务器以前仅限于从氨基酸序列预测蛋白质溶解度。我们提供了用于计算和绘制蛋白质表面疏水性和电荷斑块的工具。此外,折叠状态稳定性和净电荷的预测以热图的形式显示在一系列 pH 和离子强度条件下。该工具在抗体、其片段和相互作用的背景下进行了评估。令人惊讶的是,抗体-抗原界面的平均极性至少与 Fab 表面一样高。该基准测试过程为用户提供了评估感兴趣蛋白质中非极性表面斑块的阈值,以及可能的溶解度影响。稳定性热图与 CH2 和 CH3 结构域的实验数据相比表现良好。表面极性和 pH/离子强度依赖性的显示和量化将普遍有助于蛋白质生物物理学的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a2e/6374528/f02edc8c2b2b/41598_2018_36950_Fig1_HTML.jpg

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