Identification of trace element-containing proteins in genomic databases.
Development of bioinformatics tools provided researchers with the ability to identify full sets of trace element-containing proteins in organisms for which complete genomic sequences are available. Recently, independent bioinformatics methods were used to identify all, or almost all, genes encoding selenocysteine-containing proteins in human, mouse, and Drosophila genomes, characterizing entire selenoproteomes in these organisms. It also should be possible to search for entire sets of other trace element-associated proteins, such as metal-containing proteins, although methods for their identification are still in development.
Gladyshev
Vadim N
VN
Department of Biochemistry, University of Nebraska, Lincoln, Nebraska 68588-0664, USA. vgladyshev1@unl.edu
Kryukov
Gregory V
GV
Fomenko
Dmitri E
DE
Hatfield
Dolph L
DL
D000818:Animals; D019295:Computational Biology; D030561:Databases, Nucleic Acid; D030562:Databases, Protein; D023281:Genomics; D006801:Humans; D011506:Proteins / Q000235:genetics* / Q000502:physiology; D051140:Selenoproteins; D014131:Trace Elements / Q000502:physiology
D011506:Proteins; D051140:Selenoproteins; D014131:Trace Elements