title: Identification of trace element-containing proteins in genomic databases.
abstract: 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.
authors.affiliation: Department of Biochemistry, University of Nebraska, Lincoln, Nebraska 68588-0664, USA. vgladyshev1@unl.edu
authors.forename: Vadim N
authors.initials: VN
authors.lastname: Gladyshev
authors.forename: Gregory V
authors.initials: GV
authors.lastname: Kryukov
authors.forename: Dmitri E
authors.initials: DE
authors.lastname: Fomenko
authors.forename: Dolph L
authors.initials: DL
authors.lastname: Hatfield
mesh_terms: 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
chemical_list: D011506:Proteins; D051140:Selenoproteins; D014131:Trace Elements