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Identification of trace element-containing proteins in genomic databases
Vadim N Gladyshev1, Gregory V Kryukov, Dmitri E Fomenko
1Department of Biochemistry, University of Nebraska, Lincoln, Nebraska 68588-0664, USA. vgladyshev1@unl.edu
Annual Review of Nutrition
|June 11, 2004
Summary
Bioinformatics tools now enable identification of trace element proteins, including complete selenoproteomes in humans, mice, and Drosophila. Future methods aim to identify other metal-containing proteins.
Area of Science:
- Bioinformatics
- Proteomics
- Genomics
Background:
- Bioinformatics tools have advanced the identification of trace element-containing proteins in sequenced organisms.
- Recent studies successfully identified selenocysteine-containing proteins across human, mouse, and Drosophila genomes.
Purpose of the Study:
- To characterize entire selenoproteomes in model organisms.
- To explore the potential for identifying other trace element-associated proteins, such as metal-containing proteins.
Main Methods:
- Utilized independent bioinformatics approaches.
- Applied methods to analyze complete genomic sequences.
Main Results:
- Successfully identified all or nearly all genes encoding selenocysteine-containing proteins in human, mouse, and Drosophila.
- Characterized the complete selenoproteomes for these organisms.
Conclusions:
- Bioinformatics enables comprehensive analysis of trace element-associated proteins.
- Further development is needed for identifying broader sets of metal-containing proteins.