Sequence motif identification and protein family classification using probabilistic trees

被引：0
|
作者：
Leonardi, F [1 ]
Galves, A [1 ]
机构：
[1] Univ Sao Paulo, Inst Matemat & Estat, Sao Paulo, Brazil
来源：
ADVANCES IN BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, PROCEEDINGS | 2005年 / 3594卷
关键词：
D O I：
暂无
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
Efficient family classification of newly discovered protein sequences is a central problem in bioinformatics. We present a new algorithm, using Probabilistic Suffix Rees, which identifies equivalences between the amino acids in different positions of a motif for each family. We also show that better classification can be achieved identifying representative fingerprints in the amino acid chains.
引用
收藏
页码：190 / 193
页数：4
相关论文
共 50 条
  • [1] Protein sequence classification using probabilistic motifs and neural networks
    Blekas, K
    Fotiadis, DI
    Likas, A
    ARTIFICAIL NEURAL NETWORKS AND NEURAL INFORMATION PROCESSING - ICAN/ICONIP 2003, 2003, 2714 : 702 - 709
  • [2] Motif-based protein sequence classification using neural networks
    Blekas, K
    Fotiadis, DI
    Likas, A
    JOURNAL OF COMPUTATIONAL BIOLOGY, 2005, 12 (01) : 64 - 82
  • [3] Protein family classification using structural and sequence information
    Smith, SF
    PROCEEDINGS OF THE 2004 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 2004, : 168 - 174
  • [4] A hybrid framework for protein sequence clustering and classification using signature motif information
    Chen, Wei-Bang
    Zhang, Chengcui
    INTEGRATED COMPUTER-AIDED ENGINEERING, 2009, 16 (04) : 353 - 365
  • [5] Identification of the sequence motif of glycoside hydrolase 13 family members
    Kumar, Vikash
    BIOINFORMATION, 2011, 6 (02) : 61 - 63
  • [6] Genomic Sequence Classification Using Probabilistic Topic Modeling
    La Rosa, Massimo
    Fiannaca, Antonino
    Rizzo, Riccardo
    Urso, Alfonso
    COMPUTATIONAL INTELLIGENCE METHODS FOR BIOINFORMATICS AND BIOSTATISTICS: 10TH INTERNATIONAL MEETING, 2014, 8452 : 49 - 61
  • [7] Identification of protein superfamily from structure-based sequence motif
    HUANG Jingfei & LIU CiquanKey Laboratory of Cellular and Molecular Evolution
    Chinese Science Bulletin, 2002, (16) : 1377 - 1381
  • [8] Identification of protein superfamily from structure-based sequence motif
    Huang, JF
    Liu, CQ
    CHINESE SCIENCE BULLETIN, 2002, 47 (16): : 1377 - 1381
  • [9] Probabilistic inference trees for classification and ranking
    Su, Jiang
    Zhang, Harry
    ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2006, 4013 : 526 - 537
  • [10] Classification of a Sequence Family Using Plateaued Functions
    Boztas, Serdar
    Ozbudak, Ferruh
    Tekin, Eda
    2017 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), 2017, : 1515 - 1518
12345