Loschmidt Laboratories, Masaryk University.
MSCA.
Brief Bioinform. 2021 Jul 20;22(4). doi: 10.1093/bib/bbaa337.
There is a great interest in increasing proteins' stability to widen their usability in numerous biomedical and biotechnological applications. However, native proteins cannot usually withstand the harsh industrial environment, since they are evolved to function under mild conditions. Ancestral sequence reconstruction is a well-established method for deducing the evolutionary history of genes. Besides its applicability to discover the most probable evolutionary ancestors of the modern proteins, ancestral sequence reconstruction has proven to be a useful approach for the design of highly stable proteins. Recently, several computational tools were developed, which make the ancestral reconstruction algorithms accessible to the community, while leaving the most crucial steps of the preparation of the input data on users' side. FireProtASR aims to overcome this obstacle by constructing a fully automated workflow, allowing even the unexperienced users to obtain ancestral sequences based on a sequence query as the only input. FireProtASR is complemented with an interactive, easy-to-use web interface and is freely available at https://loschmidt.chemi.muni.cz/fireprotasr/.
人们对于提高蛋白质稳定性以拓宽其在众多生物医学和生物技术应用中的用途有着浓厚的兴趣。然而,由于天然蛋白质是在温和条件下进化而来的,因此它们通常无法承受恶劣的工业环境。祖先序列重建是一种成熟的方法,可以推断基因的进化历史。除了适用于发现现代蛋白质最可能的进化祖先外,祖先序列重建已被证明是设计高度稳定蛋白质的有用方法。最近,开发了几种计算工具,使社区能够访问祖先重建算法,同时将输入数据准备的最关键步骤留给用户。FireProtASR 通过构建一个完全自动化的工作流程来克服这一障碍,仅需将序列查询作为唯一输入,即可允许即使是非经验用户也能获得祖先序列。FireProtASR 还配备了一个交互式、易于使用的网络界面,并可在 https://loschmidt.chemi.muni.cz/fireprotasr/ 上免费获得。