Literature DB >> 20225279

The graphical representation of protein sequences based on the physicochemical properties and its applications.

Ping-An He1, Yan-Ping Zhang, Yu-Hua Yao, Yi-Fa Tang, Xu-Ying Nan.   

Abstract

Based on the chaos game representation, a 2D graphical representation of protein sequences was introduced in which the 20 amino acids are rearranged in a cyclic order according to their physicochemical properties. The Euclidean distances between the corresponding amino acids from the 2-D graphical representations are computed to find matching (or conserved) fragments of amino acids between the two proteins. Again, the cumulative distance of the 2D-graphical representations is defined to compare the similarity of protein. And, the examination of the similarity among sequences of the ND5 proteins of nine species shows the utility of our approach. (c) 2010 Wiley Periodicals, Inc.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20225279     DOI: 10.1002/jcc.21501

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  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

2.  Phylogenetic analysis of protein sequences based on distribution of length about common sub-string.

Authors:  Guisong Chang; Tianming Wang
Journal:  Protein J       Date:  2011-03       Impact factor: 2.371

3.  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

4.  Novel numerical characterization of protein sequences based on individual amino acid and its application.

Authors:  Yan-ping Zhang; Ya-jun Sheng; Wei Zheng; Ping-an He; Ji-shuo Ruan
Journal:  Biomed Res Int       Date:  2015-02-02       Impact factor: 3.411

5.  Novel Method of 3-Dimensional Graphical Representation for Proteins and Its Application.

Authors:  Zhao-Hui Qi; Ke-Cheng Li; Jin-Long Ma; Yu-Hua Yao; Ling-Yun Liu
Journal:  Evol Bioinform Online       Date:  2018-06-12       Impact factor: 1.625

6.  A Statistical Similarity/Dissimilarity Analysis of Protein Sequences Based on a Novel Group Representative Vector.

Authors:  Marwa A Abd Elwahaab; Mervat M Abo-Elkhier; Moheb I Abo El Maaty
Journal:  Biomed Res Int       Date:  2019-05-08       Impact factor: 3.411

7.  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.  Measuring Similarity among Protein Sequences Using a New Descriptor.

Authors:  Mervat M Abo-Elkhier; Marwa A Abd Elwahaab; Moheb I Abo El Maaty
Journal:  Biomed Res Int       Date:  2019-11-22       Impact factor: 3.411

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.