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PySupercharge:一个python算法,通过氨基酸突变实现所有蛋白质的ABC载体细菌分泌

Yerin Kim¹, Danny Kim¹, Nguyen-Mihn Hieu¹

¹Department of Chemistry and Biology, Korea Science Academy of Korea Advanced Institute of Science and Technology, Busan, South Korea.

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|April 20, 2024

概括

过度的正电荷阻碍了通过ATP结合盒 (ABC) 载体分泌蛋白质. 我们开发了PySupercharge来修改蛋白质电荷,使以前无法分泌的蛋白质分泌.

科学领域:

生物技术是生物技术.
分子生物学分子生物学
蛋白质工程是指蛋白质工程.

背景情况:

通过ATP结合盒 (ABC) 载体的细菌蛋白质生产和分泌提供了高容量和高效率.
某些蛋白质由于在特定的氨基酸序列区域中过度的正电荷而无法分泌.
消除过度的正电荷是通过ABC载体实现通用蛋白质分泌的关键.

研究的目的:

通过ABC载体建立"线性电荷密度"作为蛋白质分泌可能性的标准.
开发一种计算工具,使具有高线性电荷密度的蛋白质分泌成为可能.
为了证明开发的方法对各种非分泌蛋白的适用性.

主要方法:

引入了"线性电荷密度"作为评估蛋白质分泌可行性的主要标准.
开发了一种新的算法,PySupercharge,用于分析和修改蛋白质序列.
根据线性电荷密度分析,PySupercharge可选择性地将带正电荷的氨基酸转化为中性或负电荷的氨基酸.

主要成果:

证实线性电荷密度准确地预测了通过ABC载体的蛋白质分泌.
成功地将标准应用于非分泌蛋白质,包括SARS-CoV-2尖端蛋白,肉毒素轻链和人类生长因子.
"PySupercharge"在促进这些具有挑战性的蛋白质的分泌方面表现出有效性.

结论:

通过使用序列保存数据,PySupercharge最大限度地减少了功能和结构稳定性损失.
该PySupercharge工具可通过网络服务器用于研究应用程序.
验证了PySupercharge在分泌以前无法分泌的蛋白质方面的有效性,并建议其用于未来的蛋白质生产研究.

关键词:

美国广播公司运输商ABC Transporter 蛋白质生产蛋白质生产在Python算法中使用的算法.密封的分泌密封的分泌超级充电是一种超级充电.

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