MULocDeep web service for protein localization prediction and visualization at subcellular and suborganellar levels

被引:11
|
作者
Jiang, Yuexu [1 ]
Jiang, Lei [1 ]
Akhil, Chopparapu Sai [1 ]
Wang, Duolin [1 ]
Zhang, Ziyang [1 ]
Zhang, Weinan [1 ]
Xu, Dong [1 ]
机构
[1] Univ Missouri, Christopher S Bond Life Sci Ctr, Dept Elect Engineer & Comp Sci, Columbia, MO 65211 USA
基金
美国国家科学基金会;
关键词
D O I
10.1093/nar/gkad374
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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/.
引用
收藏
页码:W343 / W349
页数:7
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