Literature DB >> 18377725

2-D graphical representation of protein sequences and its application to coronavirus phylogeny.

Chun Li1, Lili Xing, Xin Wang.   

Abstract

Based on a five-letter model of the 20 amino acids, we propose a new 2-D graphical representation of protein sequence. Then we transform the 2-D graphical representation into a numerical characterization that will facilitate quantitative comparisons of protein sequences. As an application, we construct the phylogenetic tree of 56 coronavirus spike proteins. The resulting tree agrees well with the established taxonomic groups.

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Year:  2008        PMID: 18377725     DOI: 10.5483/bmbrep.2008.41.3.217

Source DB:  PubMed          Journal:  BMB Rep        ISSN: 1976-6696            Impact factor:   4.778


  9 in total

1.  Protein sequence analysis based on hydropathy profile of amino acids.

Authors:  Xiao-li Xie; Li-fei Zheng; Ying Yu; Li-ping Liang; Man-cai Guo; John Song; Zhi-fa Yuan
Journal:  J Zhejiang Univ Sci B       Date:  2012-02       Impact factor: 3.066

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.  Chemical property based sequence characterization of PpcA and its homolog proteins PpcB-E: A mathematical approach.

Authors:  Jayanta Kumar Das; Pabitra Pal Choudhury
Journal:  PLoS One       Date:  2017-03-31       Impact factor: 3.240

4.  Alignment-free similarity analysis for protein sequences based on fuzzy integral.

Authors:  Ajay Kumar Saw; Binod Chandra Tripathy; Soumyadeep Nandi
Journal:  Sci Rep       Date:  2019-02-26       Impact factor: 4.379

Review 5.  Graphical representation and mathematical characterization of protein sequences and applications to viral proteins.

Authors:  Ambarnil Ghosh; Ashesh Nandy
Journal:  Adv Protein Chem Struct Biol       Date:  2011       Impact factor: 3.507

6.  New method for comparing DNA primary sequences based on a discrimination measure.

Authors:  Jie Feng; Yong Hu; Ping Wan; Aibing Zhang; Weizhong Zhao
Journal:  J Theor Biol       Date:  2010-08-03       Impact factor: 2.691

7.  DV-curve representation of protein sequences and its application.

Authors:  Wei Deng; Yihui Luan
Journal:  Comput Math Methods Med       Date:  2014-05-08       Impact factor: 2.238

8.  Mathematical Characterization of Protein Sequences Using Patterns as Chemical Group Combinations of Amino Acids.

Authors:  Jayanta Kumar Das; Provas Das; Korak Kumar Ray; Pabitra Pal Choudhury; Siddhartha Sankar Jana
Journal:  PLoS One       Date:  2016-12-08       Impact factor: 3.240

9.  Protein Sequence Comparison and DNA-binding Protein Identification with Generalized PseAAC and Graphical Representation.

Authors:  Chun Li; Jialing Zhao; Changzhong Wang; Yuhua Yao
Journal:  Comb Chem High Throughput Screen       Date:  2018       Impact factor: 1.339

  9 in total

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