工作流程
计算机科学
序列(生物学)
限制
蛋白质设计
计算生物学
理论(学习稳定性)
蛋白质稳定性
异源的
蛋白质工程
序列分析
数据挖掘
蛋白质结构
生物
数据库
生物化学
机器学习
工程类
基因
酶
机械工程
作者
Jonathan J. Weinstein,Adi Goldenzweig,Shlomo Yakir Hoch,Sarel J. Fleishman
出处
期刊:Bioinformatics
[Oxford University Press]
日期:2020-12-15
卷期号:37 (1): 123-125
被引量:75
标识
DOI:10.1093/bioinformatics/btaa1071
摘要
Many natural and designed proteins are only marginally stable limiting their usefulness in research and applications. Recently, we described an automated structure and sequence-based design method, called PROSS, for optimizing protein stability and heterologous expression levels that has since been validated on dozens of proteins. Here, we introduce improvements to the method, workflow and presentation, including more accurate sequence analysis, error handling and automated analysis of the quality of the sequence alignment that is used in design calculations.PROSS2 is freely available for academic use at https://pross.weizmann.ac.il.
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