Literature DB >> 24412564

A novel descriptor of protein sequences and its application.

Yuhua Yao1, Shoujiang Yan2, Jianning Han3, Qi Dai2, Ping-an He3.   

Abstract

In this paper, a dynamic 3-D graphical representation of protein sequences is introduced based on three physical-chemical properties of amino acids. The coordinates of the graph have direct biological significance, which could reflect the innate structure of the proteins. The information of principal moments of inertia and range of axis coordinate are extracted as a novel mixed descriptor and proposed for the comparison of protein primary sequences. Meanwhile, the Euclidean distance of the normalized descriptor vectors which avoid the influence of the difference in length of protein sequences under consideration is employed as a quantitative measurement of the similarity of proteins. Finally, we take the nine ND5 (NADH dehydrogenase subunit 5) proteins for example and illustrate the effectiveness of our approach.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Graphical representation; Protein descriptor; Similarities/dissimilarities

Mesh:

Substances:

Year:  2014        PMID: 24412564     DOI: 10.1016/j.jtbi.2014.01.001

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


  6 in total

1.  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

2.  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

3.  FFP: joint Fast Fourier transform and fractal dimension in amino acid property-aware phylogenetic analysis.

Authors:  Wei Li; Lina Yang; Yu Qiu; Yujian Yuan; Xichun Li; Zuqiang Meng
Journal:  BMC Bioinformatics       Date:  2022-08-19       Impact factor: 3.307

4.  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

5.  One novel representation of DNA sequence based on the global and local position information.

Authors:  Zhiyi Mo; Wen Zhu; Yi Sun; Qilin Xiang; Ming Zheng; Min Chen; Zejun Li
Journal:  Sci Rep       Date:  2018-05-15       Impact factor: 4.379

6.  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

  6 in total

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