Novel 2D Graphic Representation of Protein Sequence and Its Application
DOI:
10.3993/jfbi03201403
Journal of Fiber Bioengineering & Informatics, 7 (2014), pp. 23-33.
Published online: 2014-07
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@Article{JFBI-7-23,
author = {},
title = {Novel 2D Graphic Representation of Protein Sequence and Its Application},
journal = {Journal of Fiber Bioengineering and Informatics},
year = {2014},
volume = {7},
number = {1},
pages = {23--33},
abstract = {In recent years, more and more researchers presented their graphic representations for protein sequence.
Here, we present a new 2D graphic representation of protein sequence based on four physicochemical
properties of 20 amino acids. By this graphic representation we define a distance calculation formula
to quantificationally calculate the similarity degree of different protein sequences. Then we apply the
proposed graphical curve and new distance in the similarity/dissimilarity comparison of 10 ND5 proteins
and the protein sub-cellular localization prediction about two common test datasets, ZD98 and CL317.
The results show the proposed method is easy and effective.},
issn = {2617-8699},
doi = {https://doi.org/10.3993/jfbi03201403},
url = {http://global-sci.org/intro/article_detail/jfbi/4764.html}
}
TY - JOUR
T1 - Novel 2D Graphic Representation of Protein Sequence and Its Application
JO - Journal of Fiber Bioengineering and Informatics
VL - 1
SP - 23
EP - 33
PY - 2014
DA - 2014/07
SN - 7
DO - http://doi.org/10.3993/jfbi03201403
UR - https://global-sci.org/intro/article_detail/jfbi/4764.html
KW - Graphic Representation
KW - Protein Sequence
KW - Sequence Similarity
KW - Sub-cellular Location
AB - In recent years, more and more researchers presented their graphic representations for protein sequence.
Here, we present a new 2D graphic representation of protein sequence based on four physicochemical
properties of 20 amino acids. By this graphic representation we define a distance calculation formula
to quantificationally calculate the similarity degree of different protein sequences. Then we apply the
proposed graphical curve and new distance in the similarity/dissimilarity comparison of 10 ND5 proteins
and the protein sub-cellular localization prediction about two common test datasets, ZD98 and CL317.
The results show the proposed method is easy and effective.
Yongbin Zhao, Xiaohong Li & Zhaohui Qi. (2019). Novel 2D Graphic Representation of Protein Sequence and Its Application.
Journal of Fiber Bioengineering and Informatics. 7 (1).
23-33.
doi:10.3993/jfbi03201403
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