Characterization of protein primary sequences based on partial ordering.
In this paper, we present a new approach to characterize protein sequences. Based on orderings of the 20 natural amino acids which reflect some of their physico-chemical properties, we construct an augmented Hasse matrix for each protein sequence. Furthermore, the normalized leading eigenvalues of these matrices are computed and considered as invariants for the protein sequences. Finally, we make a comparison for the similarity/diversity of nine different protein sequences.
Feng
Jie
J
Department of Applied Mathematics, Dalian University of Technology, Dalian Liaoning 116024, PR China. fengjie0536@163.com
Wang
Tian-Ming
TM
D000595:Amino Acid Sequence; D000818:Animals; D019295:Computational Biology; D030562:Databases, Protein; D008958:Models, Molecular; D008969:Molecular Sequence Data; D011487:Protein Conformation; D020539:Sequence Analysis, Protein