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UC‐Curve: A highly compact 2D graphical representation of protein sequences
Author(s) -
Li Yushuang,
Liu Qian,
Zheng Xiaoqi,
He Pingan
Publication year - 2013
Publication title -
international journal of quantum chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.484
H-Index - 105
eISSN - 1097-461X
pISSN - 0020-7608
DOI - 10.1002/qua.24581
Subject(s) - robustness (evolution) , pairwise comparison , representation (politics) , inference , euclidean space , phylogenetic tree , mathematics , computer science , algorithm , pattern recognition (psychology) , combinatorics , artificial intelligence , biology , genetics , gene , politics , political science , law
A highly compact two‐dimensional graphical representation of protein sequences, namely, UC‐Curve, is presented by assigning amino acids to the circumference of a unit circle with a cyclic order. UC‐Curves can visually reveal general composition features of protein sequences, and roughly exhibit major differences among similar protein sequences. Geometric center vectors of UC‐Curves and Euclidean distances are extracted, respectively, to analyze pairwise similarities/dissimilarities between two different families of proteins. Comparative results demonstrate the robustness of the technique and show that UC‐Curves could help to inference reasonable phylogenetic relationships with relatively less computational cost. © 2013 Wiley Periodicals, Inc.