Prediction of apoptosis protein subcellular location based on amphiphilic pseudo amino acid composition

被引:2
|
作者
Su, Wenxia [1 ]
Deng, Shuyi [2 ]
Gu, Zhifeng [2 ]
Yang, Keli [3 ]
Ding, Hui [2 ]
Chen, Hui [4 ]
Zhang, Zhaoyue [2 ,4 ]
机构
[1] Inner Mongolia Agr Univ, Coll Sci, Hohhot, Peoples R China
[2] Univ Elect Sci & Technol China, Ctr Informat Biol, Sch Life Sci & Technol, Chengdu, Peoples R China
[3] Baoji Univ Arts & Sci, Nonlinear Res Inst, Baoji, Peoples R China
[4] Chengdu Neusoft Univ, Sch Healthcare Technol, Chengdu, Peoples R China
基金
中国国家自然科学基金;
关键词
apoptosis protein; subcellular location; amphiphilic pseudo amino acid composition; support vector machine; jackknife test; NEURAL-NETWORK; LOCALIZATION; MACHINE; PSEAAC; SITES;
D O I
10.3389/fgene.2023.1157021
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Introduction: Apoptosis proteins play an important role in the process of cell apoptosis, which makes the rate of cell proliferation and death reach a relative balance. The function of apoptosis protein is closely related to its subcellular location, it is of great significance to study the subcellular locations of apoptosis proteins. Many efforts in bioinformatics research have been aimed at predicting their subcellular location. However, the subcellular localization of apoptotic proteins needs to be carefully studied.Methods: In this paper, based on amphiphilic pseudo amino acid composition and support vector machine algorithm, a new method was proposed for the prediction of apoptosis proteins' subcellular location.Results and Discussion: The method achieved good performance on three data sets. The Jackknife test accuracy of the three data sets reached 90.5%, 93.9% and 84.0%, respectively. Compared with previous methods, the prediction accuracies of APACC_SVM were improved.
引用
下载
收藏
页数:6
相关论文
共 50 条
  • [1] Protein subcellular location prediction based on pseudo amino acid composition and immune genetic algorithm
    Zhang, Tongliang
    Ding, Yongsheng
    Shao, Shihuang
    COMPUTATIONAL INTELLIGENCE AND BIOINFORMATICS, PT 3, PROCEEDINGS, 2006, 4115 : 534 - 542
  • [2] Prediction of apoptosis protein subcellular location using improved hybrid approach and pseudo-amino acid composition
    Chen, Ying-Li
    Li, Qian-Zhong
    JOURNAL OF THEORETICAL BIOLOGY, 2007, 248 (02) : 377 - 381
  • [3] Protein subcellular location prediction based on pseudo amino acid composition and PSI-blast profile
    Xu, Huimin
    Yan, Shoujiang
    Dai, Qi
    He, Ping-An
    Liao, Bo
    Yao, Yu-Hua
    Journal of Computational and Theoretical Nanoscience, 2015, 12 (10) : 3756 - 3762
  • [4] Prediction of Subcellular Localization of Apoptosis Protein Using Chou’s Pseudo Amino Acid Composition
    Hao Lin
    Hao Wang
    Hui Ding
    Ying-Li Chen
    Qian-Zhong Li
    Acta Biotheoretica, 2009, 57 : 321 - 330
  • [5] Prediction of Subcellular Localization of Apoptosis Protein Using Chou's Pseudo Amino Acid Composition
    Lin, Hao
    Wang, Hao
    Ding, Hui
    Chen, Ying-Li
    Li, Qian-Zhong
    ACTA BIOTHEORETICA, 2009, 57 (03) : 321 - 330
  • [6] Prediction and classification of protein subcellular location - Sequence-order effect and pseudo amino acid composition
    Chou, KC
    Cai, YD
    JOURNAL OF CELLULAR BIOCHEMISTRY, 2003, 90 (06) : 1250 - 1260
  • [7] Using pseudo amino acid composition to predict protein subcellular location: approached with amino acid composition distribution
    Shi, J. -Y.
    Zhang, S. -W.
    Pan, Q.
    Zhou, G. -P.
    AMINO ACIDS, 2008, 35 (02) : 321 - 327
  • [8] Using pseudo amino acid composition to predict protein subcellular location: approached with amino acid composition distribution
    J.-Y. Shi
    S.-W. Zhang
    Q. Pan
    G.-P. Zhou
    Amino Acids, 2008, 35 : 321 - 327
  • [9] Prediction of Subcellular Location of Apoptosis Proteins Using Pseudo Amino Acid Composition: An Approach from Auto Covariance Transformation
    Liu, Taigang
    Zheng, Xiaoqi
    Wang, Chunhua
    Wang, Jun
    PROTEIN AND PEPTIDE LETTERS, 2010, 17 (10): : 1263 - 1269
  • [10] Prediction of Rat Protein Subcellular Localization with Pseudo Amino Acid Composition Based on Multiple Sequential Features
    Shi, Ruijia
    Xu, Cunshuan
    PROTEIN AND PEPTIDE LETTERS, 2011, 18 (06): : 625 - 633