DocumentCode
3048504
Title
Bioinformatic Approach to Identify Penultimate Amino Acids Efficient for N-Terminal Methionine Excision
Author
Khalouei, Sam ; Yao, Xiaoquan ; Mennigen, Jan ; Carullo, Malisa ; Ma, Pinchao ; Song, Ziyu ; Xiong, Huiling ; Xuhua Xia
Author_Institution
Dept. of Biol., Ottawa Univ., Ottawa, ON
fYear
2007
fDate
6-8 July 2007
Firstpage
386
Lastpage
389
Abstract
More than half of proteins in prokaryotes and eukaryotes undergo N-terminal methionine excision (NME). While it is known that the penultimate amino acid affects the efficiency of NME in several bacterial and eukaryotic species, it is experimentally difficult and tedious to verify which amino acid at the penultimate site (the site after initiator Met) is the most efficient for NME in different species. Here we present a new bioinformatic approach to identify penultimate amino acids that are efficient for NME. Amino acids most efficient for NME are alanine, serine and proline in human, and alanine, glycine, valine, proline and serine in the yeast Saccharomyces cerevisiae. This finding also helps resolve the two hypotheses that have been proposed to explain the presence of+4G site in the Kozak consensus for translation initiation.
Keywords
biology computing; microorganisms; proteins; Kozak consensus; N-terminal methionine excision; alanine; bacteria; bioinformatic approach; eukaryotes; glycine; penultimate amino acids; prokaryotes; proline; proteins; serine; yeast Saccharomyces cerevisiae; Amino acids; Bioinformatics; Frequency; Fungi; Genomics; Humans; Microorganisms; Peptides; Proteins;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on
Conference_Location
Wuhan
Print_ISBN
1-4244-1120-3
Type
conf
DOI
10.1109/ICBBE.2007.102
Filename
4272586
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