Analyzing functional similarity of protein sequences with discrete wavelet transform.
This paper applies discrete wavelet transform (DWT) with various protein substitution models to find functional similarity of proteins with low identity. A new metric, 'S' function, based on the DWT is proposed to measure the pair-wise similarity. We also develop a segmentation technique, combined with DWT, to handle long protein sequences. The results are compared with those using the pair-wise alignment and PSI-BLAST.
Wen
Zhi-ning
ZN
College of Chemistry, Sichuan University, Chengdu, Sichuan 610064, PR China.
Wang
Ke-long
KL
Li
Meng-long
ML
Nie
Fu-sheng
FS
Yang
Yi
Y
D000595:Amino Acid Sequence; D019943:Amino Acid Substitution; D003198:Computer Simulation; D040681:Structural Homology, Protein