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Open AccessMethod

A computational method to predict genetically encoded rare amino acids in proteins

Barnali N Chaudhuri email and Todd O Yeates email

UCLA-DOE Institute for Genomics and Proteomics and Department of Chemistry and Biochemistry, University of California, Los Angeles, USA

author email corresponding author email

Genome Biology 2005, 6:R79doi:10.1186/gb-2005-6-9-r79

Published: 31 August 2005

Subject areas: Bioinformatics, Microbiology and parasitology, Biochemistry and structural biology, Molecular biology

Abstract

In several natural settings, the standard genetic code is expanded to incorporate two additional amino acids with distinct functionality, selenocysteine and pyrrolysine. These rare amino acids can be overlooked inadvertently, however, as they arise by recoding at certain stop codons. We report a method for such recoding prediction from genomic data, using read-through similarity evaluation. A survey across a set of microbial genomes identifies almost all the known cases as well as a number of novel candidate proteins.


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