Quantifying Protein Function Specificity in the Gene Ontology

被引:0
|
作者
Brenton Louie
Silas Bergen
Roger Higdon
Eugene Kolker
机构
[1] Seattle Children’s Research Institute,Bioinformatics and High
[2] Seattle Children’s Hospital,throughput Analysis Laboratory
[3] University of Washington School of Public Health,Predictive Analytics
[4] University of Washington School of Medicine,Department of Biostatistics
来源
关键词
protein annotation; protein function; function specificity;
D O I
暂无
中图分类号
学科分类号
摘要
Quantitative or numerical metrics of protein function specificity made possible by the Gene Ontology are useful in that they enable development of distance or similarity measures between protein functions. Here we describe how to calculate four measures of function specificity for GO terms: 1) number of ancestor terms; 2) number of offspring terms; 3) proportion of terms; and 4) Information Content (IC). We discuss the relationship between the metrics and the strengths and weaknesses of each.
引用
收藏
页码:238 / 244
页数:6
相关论文
共 50 条
  • [21] A new protein function prediction algorithm based on PPI network and the Gene Ontology
    Huang, Junheng
    Sun, Yushan
    Wang, Bailing
    Zhu, Dongjie
    Journal of Computational Information Systems, 2012, 8 (11): : 4545 - 4552
  • [22] Annotating the Function of the Human Genome with Gene Ontology and Disease Ontology
    Hu, Yang
    Zhou, Wenyang
    Ren, Jun
    Dong, Lixiang
    Wang, Yadong
    Jin, Shuilin
    Cheng, Liang
    BIOMED RESEARCH INTERNATIONAL, 2016, 2016
  • [23] Quantifying Amino Acids Specificity in the Protein Radiation Damage
    Khrais, Senamees S.
    AlNaqpi, Halima A.
    Boularaoui, Selwa M.
    Tariq, Syed M.
    Gater, Deborah L.
    Isakovic, Abdel F.
    BIOPHYSICAL JOURNAL, 2016, 110 (03) : 507A - 507A
  • [24] Gene function prediction with knowledge from gene ontology
    Shen, Ying
    Zhang, Lin
    INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS, 2015, 13 (01) : 50 - 62
  • [25] Gene Ontology in Comparative Protein Docking
    Hadarovich, Anna
    Anishchenko, Ivan
    Tuzikov, Alexander V.
    Kundrotas, Petras J.
    Vakser, Ilya A.
    PROTEIN SCIENCE, 2016, 25 : 135 - 136
  • [26] Filtering Association Rules in Gene Ontology Based on Term Specificity
    Shui, Yong
    Cho, Young-Rae
    2016 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2016, : 1314 - 1321
  • [27] The scaffold protein AXIN1: gene ontology, signal network, and physiological function
    Qiu, Lu
    Sun, Yixuan
    Ning, Haoming
    Chen, Guanyu
    Zhao, Wenshan
    Gao, Yanfeng
    CELL COMMUNICATION AND SIGNALING, 2024, 22 (01)
  • [28] Learning Kernel Matrix from Gene Ontology and Annotation Data for Protein Function Prediction
    Chen, Yiming
    Li, Zhoujun
    Liu, Junwan
    ADVANCES IN NEURAL NETWORKS - ISNN 2009, PT 3, PROCEEDINGS, 2009, 5553 : 694 - +
  • [29] Gene Ontology-Based Protein Function Prediction by Using Sequence Composition Information
    Dong, Qiwen
    Zhou, Shuigeng
    Deng, Lei
    Guan, Jihong
    PROTEIN AND PEPTIDE LETTERS, 2010, 17 (06): : 789 - 795
  • [30] GOProFormer: A Multi-Modal Transformer Method for Gene Ontology Protein Function Prediction
    Kabir, Anowarul
    Shehu, Amarda
    BIOMOLECULES, 2022, 12 (11)