在E.中,优化信号对人类复合索马热的分泌表达. 大肠杆菌
Zeynab Ahmadi1, Safar Farajnia2,3, Davoud Farajzadeh1,4
1Department of Biology, Faculty of Basic Sciences, Azarbaijan Shahid Madani University, Tabriz, Iran.
Advanced pharmaceutical bulletin
|June 21, 2023
概括
计算分析确定了五种信号 (ynfB,sfaS,lolA,glnH,malE) 用于有效地表达大肠杆菌中人体体的周等离子体表达,克服了包容体的形成.
科学领域:
- 生物技术是生物技术.
- 分子生物学分子生物学
- 生物信息学是一种生物信息学.
背景情况:
- 人体体育素对生物过程至关重要.
- 在大肠杆菌中的高表达导致包含体,阻碍生产.
- 通过信号的周周等离子体表达可以防止纳入体,但效率各不相同.
研究的目的:
- 使用in silico分析,确定人类索马热在大肠杆菌中的周等离子体表达的最佳信号.
- 为了克服重组蛋白质生产中的纳入体形成挑战.
主要方法:
- 收集了90种 prokaryotic 和 eukaryotic 信号的图书馆.
- 使用生物信息学软件分析信号的特性和效率.
- 使用SignalP5服务器预测的分泌途径和分离点.
- 使用ProtParam软件评估物理化学性质.
主要成果:
- 鉴定了五种信号 (ynfB,sfaS,lolA,glnH,malE) 具有高分数的人体体周等离子体表达.
- 证明了 in silico 方法在信号选择中的潜力.
结论:
- 在分析是一种可行的策略,用于识别适合蛋白质周等离子体表达的信号.
- 建议进行进一步的实验室验证,以确认计算结果.
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