Reduced amino acid alphabets exhibit an improved sensitivity and selectivity in fold assignment
Author(s) -
Eric L. Peterson,
Jané Kondev,
Julie A. Theriot,
Rob Phillips
Publication year - 2009
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btp164
Subject(s) - pairwise comparison , computer science , similarity (geometry) , cluster analysis , contrast (vision) , alphabet , algorithm , sequence alignment , sensitivity (control systems) , pattern recognition (psychology) , mathematics , artificial intelligence , peptide sequence , biology , genetics , gene , philosophy , linguistics , electronic engineering , engineering , image (mathematics)
Many proteins with vastly dissimilar sequences are found to share a common fold, as evidenced in the wealth of structures now available in the Protein Data Bank. One idea that has found success in various applications is the concept of a reduced amino acid alphabet, wherein similar amino acids are clustered together. Given the structural similarity exhibited by many apparently dissimilar sequences, we undertook this study looking for improvements in fold recognition by comparing protein sequences written in a reduced alphabet.
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