在 silico 方法来调查酶固定:一个全面的系统性审查
Farzaneh Barati1, Fakhrisadat Hosseini1, Rayeheh Vafaee2
1Department of Biotechnology, Faculty of Biological Sciences, Alzahra University, Tehran, Iran. f.hosseini@alzahra.ac.ir.
Physical chemistry chemical physics : PCCP
|January 31, 2024
概括
生物信息学工具可以预测酶固定化结果,减少实验成本和时间. 本综述对in silico方法进行了调查,突出了其优点和弱点,并对生物催化剂开发进行了计算分析.
科学领域:
- 生物催化和酶工程 生物催化和酶工程
- 计算化学计算化学
- 生物信息学是一种生物信息学.
背景情况:
- 工业酶应用面临着诸如低稳定性和高成本等局限性.
- 酶固定是克服这些挑战的关键策略.
- 预测生物信息学工具可以简化实验性酶固定.
研究的目的:
- 为预测酶固定化结果的in silico方法提供全面的系统审查.
- 分析各种计算方法的优缺点.
- 详细说明固定评估所需的计算分析.
主要方法:
- 对2022年12月11日之前发表的文章进行系统的文献综述.
- 对Web of Science和Scopus数据库进行选.
- 分析了60个精选的文章,详细介绍了in silico程序.
主要成果:
- 确定了广泛的in silico方法,包括分子动力学 (MD) 模拟,对接,密度函数理论 (DFT) 和酶结构/表面分析.
- 分子动力学 (MD) 模拟是最常见的独立方法 (n=20).
- 大多数研究 (n=51) 结合了评估和实验性酶固定.
结论:
- 在 silico 方法提供了一种成本效益和时间效率高的方法来预测酶固定化结果.
- 了解不同计算工具的优缺点对于成功应用至关重要.
- 预测建模与实验验证的进一步整合可以加速生物催化剂的开发.
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