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
相关论文
共 50 条
  • [41] Prediction of subcellular protein localization based on functional domain composition
    Jia, Peilin
    Qian, Ziliang
    Zeng, ZhenBin
    Cai, Yudong
    Li, Yixue
    BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS, 2007, 357 (02) : 366 - 370
  • [42] Feature Fusion Based SVM Classifier for Protein Subcellular Localization Prediction
    Rahman, Julia
    Mondal, Md. Nazrul Islam
    Ben Islam, Md. Khaled
    Al Mehedi, Md.
    JOURNAL OF INTEGRATIVE BIOINFORMATICS, 2016, 13 (01) : 288
  • [43] GO molecular function coding based protein subcellular localization prediction
    SHEN JinCheng
    Chinese Science Bulletin, 2007, (16) : 2240 - 2245
  • [44] Protein Subcellular Localization Prediction and Genomic Polymorphism Analysis of the SARS Coronavirus
    季星来
    柳树群
    李岭
    孙之荣
    TsinghuaScienceandTechnology, 2004, (04) : 384 - 390
  • [46] A Novel Integrated Method for Human Multiplex Protein Subcellular Localization Prediction
    Gu, Hong
    Cao, Junzhe
    2013 IEEE INTERNATIONAL CONFERENCE ON BIG DATA, 2013,
  • [47] Extreme Learning Machine Based Bacterial Protein Subcellular Localization Prediction
    Lan, Yuan
    Soh, Yeng Chai
    Huang, Guang-Bin
    2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8, 2008, : 1859 - 1863
  • [48] Protein Subcellular Localization Prediction Model Based on Graph Convolutional Network
    Zhang, Tianhao
    Gu, Jiawei
    Wang, Zeyu
    Wu, Chunguo
    Liang, Yanchun
    Shi, Xiaohu
    INTERDISCIPLINARY SCIENCES-COMPUTATIONAL LIFE SCIENCES, 2022, 14 (04) : 937 - 946
  • [49] GO molecular function coding based protein subcellular localization prediction
    Shen JinCheng
    Song Zhang
    Sun ZhiRong
    CHINESE SCIENCE BULLETIN, 2007, 52 (16): : 2240 - 2245
  • [50] PROTEIN SUBCELLULAR LOCALIZATION PREDICTION BASED ON PROFILE ALIGNMENT AND GENE ONTOLOGY
    Wan, Shibiao
    Mak, Man-Wai
    Kung, Sun-Yuan
    2011 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP), 2011,