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使用 Aggrescan3D 独立版进行蛋白质溶解度和聚集特性的合理设计方案。

Protocols for Rational Design of Protein Solubility and Aggregation Properties Using Aggrescan3D Standalone.

机构信息

Faculty of Chemistry, Biological and Chemical Research Centre, University of Warsaw, Warsaw, Poland.

Department of Chemistry, Iowa State University, Ames, IA, USA.

出版信息

Methods Mol Biol. 2022;2340:17-40. doi: 10.1007/978-1-0716-1546-1_2.

DOI:10.1007/978-1-0716-1546-1_2
PMID:35167068
Abstract

Protein aggregation is a major hurdle in the development and manufacturing of protein-based therapeutics. Development of aggregation-resistant and stable protein variants can be guided by rational redesign using computational tools. Here, we describe the architecture and functionalities of the Aggrescan3D (A3D) standalone package for the rational design of protein solubility and aggregation properties based on three-dimensional protein structures. We present the case studies of the three therapeutic proteins, including antibodies, exploring the practical use of the A3D standalone tool. The case studies demonstrate that protein solubility can be easily improved by the A3D prediction of non-destabilizing amino acid mutations at the protein surfaces.

摘要

蛋白质聚集是蛋白质类治疗药物研发和生产的主要障碍。通过使用计算工具进行合理的重新设计,可以开发出抗聚集和稳定的蛋白质变体。在这里,我们描述了 Aggrescan3D(A3D)独立软件包的架构和功能,该软件包用于基于三维蛋白质结构对蛋白质的可溶性和聚集特性进行合理设计。我们展示了三种治疗性蛋白质(包括抗体)的案例研究,探索了 A3D 独立工具的实际应用。案例研究表明,通过 A3D 预测蛋白质表面的非稳定氨基酸突变,可以轻松提高蛋白质的可溶性。

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本文引用的文献

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Curr Opin Struct Biol. 2020 Feb;60:157-166. doi: 10.1016/j.sbi.2020.01.005. Epub 2020 Feb 19.
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Aggrescan3D (A3D) 2.0: prediction and engineering of protein solubility.Aggrescan3D (A3D) 2.0:蛋白质可溶性的预测与工程化。
Nucleic Acids Res. 2019 Jul 2;47(W1):W300-W307. doi: 10.1093/nar/gkz321.
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Aggrescan3D standalone package for structure-based prediction of protein aggregation properties.Aggrescan3D 独立套件,用于基于结构的蛋白质聚集性质预测。
Bioinformatics. 2019 Oct 1;35(19):3834-3835. doi: 10.1093/bioinformatics/btz143.
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Modeling of Protein Structural Flexibility and Large-Scale Dynamics: Coarse-Grained Simulations and Elastic Network Models.蛋白质结构柔韧性和大规模动力学建模:粗粒度模拟和弹性网络模型。
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Combining Structural Aggregation Propensity and Stability Predictions To Redesign Protein Solubility.结合结构聚集倾向和稳定性预测来重新设计蛋白质溶解度。
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