Literature DB >> 22325072

Application of 2D graphic representation of protein sequence based on Huffman tree method.

Zhao-Hui Qi1, Jun Feng, Xiao-Qin Qi, Ling Li.   

Abstract

Based on Huffman tree method, we propose a new 2D graphic representation of protein sequence. This representation can completely avoid loss of information in the transfer of data from a protein sequence to its graphic representation. The method consists of two parts. One is about the 0-1 codes of 20 amino acids by Huffman tree with amino acid frequency. The amino acid frequency is defined as the statistical number of an amino acid in the analyzed protein sequences. The other is about the 2D graphic representation of protein sequence based on the 0-1 codes. Then the applications of the method on ten ND5 genes and seven Escherichia coli strains are presented in detail. The results show that the proposed model may provide us with some new sights to understand the evolution patterns determined from protein sequences and complete genomes.
Copyright © 2012 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22325072     DOI: 10.1016/j.compbiomed.2012.01.011

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  3 in total

1.  3D representations of amino acids-applications to protein sequence comparison and classification.

Authors:  Jie Li; Patrice Koehl
Journal:  Comput Struct Biotechnol J       Date:  2014-09-06       Impact factor: 7.271

2.  ADLD: a novel graphical representation of protein sequences and its application.

Authors:  Lei Wang; Hui Peng; Jinhua Zheng
Journal:  Comput Math Methods Med       Date:  2014-10-30       Impact factor: 2.238

3.  Similarity/Dissimilarity analysis of protein sequences based on a new spectrum-like graphical representation.

Authors:  Yuhua Yao; Shoujiang Yan; Huimin Xu; Jianning Han; Xuying Nan; Ping-An He; Qi Dai
Journal:  Evol Bioinform Online       Date:  2014-06-12       Impact factor: 1.625

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.