Web-based tools for computational enzyme design

Web-based tools for computational enzyme design
复制标题

DOI:
10.1016/j.sbi.2021.01.010
复制
发表时间:
2021-08-01
影响因子:
6.8
通讯作者:
Damborsky, Jiri
Damborsky, Jiri
中科院分区:
生物学2区
文献类型:
--
作者:
Marques, Sergio M.;Planas-Iglesias, Joan;Damborsky, Jiri

文献摘要

被引文献

相似文献

酶在非常多样化的生物技术应用中有很高的需求。然而,天然生物催化剂通常需要被工程化以微调其朝向最终应用的性质,例如活性、选择性、对温度或共溶剂的稳定性以及溶解度。计算方法越来越多地用于这一任务,提供预测,大大缩小了可能的突变空间,可以大大减少实验负担。许多计算工具作为网络平台提供,使非专家用户也能使用。这些平台通常是用户友好的,包含步行功能,并且不需要深入的专业知识和安装。在这里,我们描述了一些最新的优秀的网络工具,酶工程和制定未来的前景在这一领域。
Enzymes are in high demand for very diverse biotechnological applications. However, natural biocatalysts often need to be engineered for fine-tuning their properties towards the end applications, such as the activity, selectivity, stability to temperature or co-solvents, and solubility. Computational methods are increasingly used in this task, providing predictions that narrow down the space of possible mutations significantly and can enormously reduce the experimental burden. Many computational tools are available as web-based platforms, making them accessible to non-expert users. These platforms are typically user-friendly, contain walk-throughs, and do not require deep expertise and installations. Here we describe some of the most recent outstanding web-tools for enzyme engineering and formulate future perspectives in this field.