Literature DB >> 27375218

Protein sequence analysis by incorporating modified chaos game and physicochemical properties into Chou's general pseudo amino acid composition.

Chunrui Xu1, Dandan Sun1, Shenghui Liu1, Yusen Zhang2.   

Abstract

In this contribution we introduced a novel graphical method to compare protein sequences. By mapping a protein sequence into 3D space based on codons and physicochemical properties of 20 amino acids, we are able to get a unique P-vector from the 3D curve. This approach is consistent with wobble theory of amino acids. We compute the distance between sequences by their P-vectors to measure similarities/dissimilarities among protein sequences. Finally, we use our method to analyze four datasets and get better results compared with previous approaches.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Codon; Hydropathy index; Isoelectric point; Protein vector; Sequences analysis

Mesh:

Substances:

Year:  2016        PMID: 27375218     DOI: 10.1016/j.jtbi.2016.06.034

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  8 in total

1.  Identifying anticancer peptides by using a generalized chaos game representation.

Authors:  Li Ge; Jiaguo Liu; Yusen Zhang; Matthias Dehmer
Journal:  J Math Biol       Date:  2018-10-05       Impact factor: 2.259

Review 2.  Some illuminating remarks on molecular genetics and genomics as well as drug development.

Authors:  Kuo-Chen Chou
Journal:  Mol Genet Genomics       Date:  2020-01-01       Impact factor: 3.291

3.  An accurate alignment-free protein sequence comparator based on physicochemical properties of amino acids.

Authors:  Saeedeh Akbari Rokn Abadi; Azam Sadat Abdosalehi; Faezeh Pouyamehr; Somayyeh Koohi
Journal:  Sci Rep       Date:  2022-07-01       Impact factor: 4.996

4.  An Alignment-Free Algorithm in Comparing the Similarity of Protein Sequences Based on Pseudo-Markov Transition Probabilities among Amino Acids.

Authors:  Yushuang Li; Tian Song; Jiasheng Yang; Yi Zhang; Jialiang Yang
Journal:  PLoS One       Date:  2016-12-05       Impact factor: 3.240

5.  Protein Sequence Comparison Based on Physicochemical Properties and the Position-Feature Energy Matrix.

Authors:  Lulu Yu; Yusen Zhang; Ivan Gutman; Yongtang Shi; Matthias Dehmer
Journal:  Sci Rep       Date:  2017-04-10       Impact factor: 4.379

6.  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

7.  A novel model for protein sequence similarity analysis based on spectral radius.

Authors:  Chuanyan Wu; Rui Gao; Yang De Marinis; Yusen Zhang
Journal:  J Theor Biol       Date:  2018-03-07       Impact factor: 2.691

8.  FEGS: a novel feature extraction model for protein sequences and its applications.

Authors:  Zengchao Mu; Ting Yu; Xiaoping Liu; Hongyu Zheng; Leyi Wei; Juntao Liu
Journal:  BMC Bioinformatics       Date:  2021-06-03       Impact factor: 3.169

  8 in total

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