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Solubis:一个通过突变减少蛋白质聚集的网络服务器。

Solubis: a webserver to reduce protein aggregation through mutation.

作者信息

Van Durme Joost, De Baets Greet, Van Der Kant Rob, Ramakers Meine, Ganesan Ashok, Wilkinson Hannah, Gallardo Rodrigo, Rousseau Frederic, Schymkowitz Joost

机构信息

VIB Switch Laboratory, VIB, Leuven, Belgium Switch Laboratory, Department of Cellular and Molecular Medicine, University of Leuven, Leuven, Belgium.

VIB Switch Laboratory, VIB, Leuven, Belgium Switch Laboratory, Department of Cellular and Molecular Medicine, University of Leuven, Leuven, Belgium

出版信息

Protein Eng Des Sel. 2016 Aug;29(8):285-9. doi: 10.1093/protein/gzw019. Epub 2016 Jun 9.

Abstract

Protein aggregation is a major factor limiting the biotechnological and therapeutic application of many proteins, including enzymes and monoclonal antibodies. The molecular principles underlying aggregation are by now sufficiently understood to allow rational redesign of natural polypeptide sequences for decreased aggregation tendency, and hence potentially increased expression and solubility. Given that aggregation-prone regions (APRs) tend to contribute to the stability of the hydrophobic core or to functional sites of the protein, mutations in these regions have to be carefully selected in order not to disrupt protein structure or function. Therefore, we here provide access to an automated pipeline to identify mutations that reduce protein aggregation by reducing the intrinsic aggregation propensity of the sequence (using the TANGO algorithm), while taking care not to disrupt the thermodynamic stability of the native structure (using the empirical force-field FoldX). Moreover, by providing a plot of the intrinsic aggregation propensity score of APRs corrected by the local stability of that region in the folded structure, we allow users to prioritize those regions in the protein that are most in need of improvement through protein engineering. The method can be accessed at http://solubis.switchlab.org/.

摘要

蛋白质聚集是限制许多蛋白质(包括酶和单克隆抗体)生物技术和治疗应用的主要因素。目前,人们对聚集背后的分子原理已有足够的了解,从而能够合理重新设计天然多肽序列,以降低聚集倾向,进而有可能提高表达水平和溶解度。鉴于易于聚集的区域(APR)往往有助于蛋白质疏水核心的稳定性或功能位点,因此必须谨慎选择这些区域的突变,以免破坏蛋白质结构或功能。因此,我们在此提供一种自动化流程,通过降低序列的固有聚集倾向(使用TANGO算法)来识别减少蛋白质聚集的突变,同时注意不破坏天然结构的热力学稳定性(使用经验力场FoldX)。此外,通过提供经折叠结构中该区域局部稳定性校正的APR固有聚集倾向得分图,我们允许用户对蛋白质中最需要通过蛋白质工程进行改进的区域进行优先排序。该方法可通过http://solubis.switchlab.org/访问。

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