School of Chemical Engineering and Analytical Science, Manchester Institute of Biotechnology, University of Manchester, Manchester M1 7DN, UK.
School of Chemistry, Manchester Institute of Biotechnology, University of Manchester, Manchester M1 7DN, UK.
Bioinformatics. 2017 Oct 1;33(19):3098-3100. doi: 10.1093/bioinformatics/btx345.
Protein solubility is an important property in industrial and therapeutic applications. Prediction is a challenge, despite a growing understanding of the relevant physicochemical properties.
Protein-Sol is a web server for predicting protein solubility. Using available data for Escherichia coli protein solubility in a cell-free expression system, 35 sequence-based properties are calculated. Feature weights are determined from separation of low and high solubility subsets. The model returns a predicted solubility and an indication of the features which deviate most from average values. Two other properties are profiled in windowed calculation along the sequence: fold propensity, and net segment charge. The utility of these additional features is demonstrated with the example of thioredoxin.
The Protein-Sol webserver is available at http://protein-sol.manchester.ac.uk.
蛋白质溶解度是工业和治疗应用中的一个重要性质。尽管对相关物理化学性质的理解不断增加，但预测仍然是一个挑战。
Protein-Sol 是一个用于预测蛋白质溶解度的网络服务器。使用无细胞表达系统中大肠杆菌蛋白质溶解度的可用数据，计算了 35 种基于序列的特性。从低溶解度和高溶解度子集的分离确定特征权重。该模型返回预测的溶解度以及指示最偏离平均值的特征的指示。沿着序列以窗口计算的方式还分析了另外两个特性：折叠倾向和净段电荷。使用硫氧还蛋白的示例演示了这些附加特征的实用性。
Protein-Sol 网络服务器可在 http://protein-sol.manchester.ac.uk 获得。
