生物
可视化
背景(考古学)
计算生物学
Web服务
服务(商务)
亚细胞定位
蛋白质亚细胞定位预测
生物信息学
计算机科学
数据挖掘
万维网
遗传学
基因
经济
古生物学
经济
细胞质
作者
Yuexu Jiang,Lei Jiang,Chopparapu Sai Akhil,Duolin Wang,Ziyang Zhang,Weinan Zhang,Dong Xu
摘要
Abstract Predicting protein localization and understanding its mechanisms are critical in biology and pathology. In this context, we propose a new web application of MULocDeep with improved performance, result interpretation, and visualization. By transferring the original model into species-specific models, MULocDeep achieved competitive prediction performance at the subcellular level against other state-of-the-art methods. It uniquely provides a comprehensive localization prediction at the suborganellar level. Besides prediction, our web service quantifies the contribution of single amino acids to localization for individual proteins; for a group of proteins, common motifs or potential targeting-related regions can be derived. Furthermore, the visualizations of targeting mechanism analyses can be downloaded for publication-ready figures. The MULocDeep web service is available at https://www.mu-loc.org/.
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