Open AccessADLD: A Novel Graphical Representation of Protein Sequences and Its Application
Author(s) -
Lei Wang,
Hui Peng,
Jinhua Zheng
Publication year - 2014
Publication title -
computational and mathematical methods in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.462
H-Index - 48
eISSN - 1748-6718
pISSN - 1748-670X
DOI - 10.1155/2014/959753
Subject(s) - intuition , computer science , representation (politics) , similarity (geometry) , diagonal , pattern recognition (psychology) , structural alignment , diagram , smith–waterman algorithm , artificial intelligence , data mining , computational biology , algorithm , theoretical computer science , sequence alignment , mathematics , biology , peptide sequence , genetics , philosophy , geometry , epistemology , database , politics , political science , law , image (mathematics) , gene
To facilitate the intuitional analysis of protein sequences, a novel graphical representation of protein sequences called ADLD ( Alignment Diagonal Line Diagram ) is introduced in this paper first, and then a new ADLD based method is proposed and utilized to analyze the similarity/dissimilarity of protein sequences. Comparing with existing methods, our ADLD based method is proved to be effective in the similarity/dissimilarity analysis of protein sequences and have the merits of good intuition, visuality, and simplicity. The examinations of the similarities/dissimilarities for both the 16 different ND5 proteins and the 29 different spike proteins illustrate the utility of our ADLD based approach.
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