Poor protein solubility hinders the production of many therapeutic and industrially useful proteins. Experimental efforts to increase solubility are plagued by low success rates and often reduce biological activity. Computational prediction of protein expressibility and solubility in Escherichia coli using only sequence information could reduce the cost of experimental studies by enabling prioritisation of highly soluble proteins.

中文翻译：

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SoluProt：大肠杆菌中可溶性蛋白表达的预测

蛋白质溶解度差阻碍了许多治疗和工业上有用的蛋白质的生产。提高溶解度的实验努力受到低成功率的困扰，并且通常会降低生物活性。仅使用序列信息对大肠杆菌中蛋白质表达能力和溶解度的计算预测可以通过优先考虑高度可溶性蛋白质来降低实验研究的成本。