Roura Padrosa David, Marchini Valentina, Paradisi Francesca
Department of Chemistry and Biochemistry, University of Bern, Freiestrasse 3, 3012 Bern, Switzerland.
Bioinformatics. 2021 Sep 9;37(17):2761-2762. doi: 10.1093/bioinformatics/btab030.
Protein immobilization, while widespread to unlock enzyme potential in biocatalysis, remains tied to a trial an error approach. Nonetheless, several databases and computational methods have been developed for protein characterization and their study. CapiPy is a user-friendly application for protein model creation and subsequent analysis with a special focus on the ease of use and interpretation of the results to help the users to make an informed decision on the immobilization approach which should be ideal for a protein of interest. The package has been tested with three separate random sets of 150 protein sequences from Uniprot with more than a 70% overall success rate (see Supplementary information and Supplementary Dataset).
The package is free to use under the GNU General Public License v3.0. All necessary files can be downloaded from https://github.com/drou0302/CapiPy or https://pypi.org/project/CapiPy/. All external requirements are also freely available, with some restrictions for non-academic users.
Supplementary data are available at Bioinformatics online.
蛋白质固定化虽然在生物催化中广泛应用以释放酶的潜力,但仍依赖于反复试验的方法。尽管如此,已经开发了几个数据库和计算方法用于蛋白质表征及其研究。CapiPy是一个用户友好的应用程序,用于创建蛋白质模型并进行后续分析,特别注重结果的易用性和可解释性,以帮助用户就固定化方法做出明智的决定,该方法对于感兴趣的蛋白质应该是理想的。该软件包已使用来自Uniprot的三组独立的150个蛋白质序列随机集进行测试,总体成功率超过70%(见补充信息和补充数据集)。
该软件包在GNU通用公共许可证v3.0下可免费使用。所有必要文件可从https://github.com/drou0302/CapiPy或https://pypi.org/project/CapiPy/下载。所有外部要求也可免费获得,但非学术用户有一些限制。
补充数据可在《生物信息学》在线获取。