Department of Biochemistry and Molecular Biology, Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada.
Nucleic Acids Res. 2022 Jul 5;50(W1):W384-W391. doi: 10.1093/nar/gkac279.
Phase separation-based condensate formation is a novel working paradigm in biology, helping to rationalize many important cellular phenomena including the assembly of membraneless organelles. Uncovering the functional impact of cellular condensates requires a better knowledge of these condensates' constituents. Herein, we introduce the webserver GraPES (Granule Protein Enrichment Server), a user-friendly online interface containing the MaGS and MaGSeq predictors, which provide propensity scores for proteins' localization into cellular condensates. Our webpage contains models trained on human (Homo sapiens) and yeast (Saccharomyces cerevisiae) stress granule proteins. MaGS utilizes experimentally-based protein features for prediction, whereas MaGSeq is an entirely protein sequence-based implementation. GraPES is implemented in HTML/CSS and Javascript and is freely available for public use at https://grapes.msl.ubc.ca/. Documentation for using the provided webtools, descriptions of their methodology, and implementation notes can be found on the webpage.
基于相分离的凝聚物形成是生物学中的一种新的工作模式,有助于使许多重要的细胞现象合理化,包括无膜细胞器的组装。揭示细胞凝聚物的功能影响需要更好地了解这些凝聚物的成分。在此,我们介绍了 GraPES(颗粒蛋白富集服务器)网络服务器,这是一个用户友好的在线界面,包含 MaGS 和 MaGSeq 预测器,它们为蛋白质定位到细胞凝聚物提供倾向分数。我们的网页包含了基于人类(智人)和酵母(酿酒酵母)应激颗粒蛋白的模型。MaGS 利用基于实验的蛋白质特征进行预测,而 MaGSeq 则是完全基于蛋白质序列的实现。GraPES 是用 HTML/CSS 和 JavaScript 实现的,可在 https://grapes.msl.ubc.ca/ 免费供公众使用。有关使用提供的网络工具的文档、其方法描述和实现说明可以在网页上找到。