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Updated: Jul 29, 2026
10:41
Identifying Amino Acid Overproducers Using Rare-Codon-Rich Markers
Published on: June 24, 2019
A computational method to predict genetically encoded rare amino acids in proteins.
Barnali N Chaudhuri1, Todd O Yeates
1UCLA-DOE Institute for Genomics and Proteomics and Department of Chemistry and Biochemistry, University of California, Los Angeles, USA. neel@mbi.ucla.edu
Genome Biology
|September 20, 2005
Summary
Scientists developed a new method to predict the incorporation of rare amino acids, selenocysteine and pyrrolysine, which are encoded by stop codons. This genomic analysis identifies known and novel proteins utilizing these unique amino acids.
Area of Science:
- Genetics and Molecular Biology
- Bioinformatics
- Protein Chemistry
Background:
- The standard genetic code includes 20 amino acids.
- Two additional amino acids, selenocysteine and pyrrolysine, expand the proteome in various organisms.
- These amino acids are incorporated via recoding of stop codons, making them difficult to identify.
Purpose of the Study:
- To develop a computational method for predicting the recoding of stop codons to incorporate selenocysteine and pyrrolysine.
- To identify novel instances of these non-standard amino acids in microbial genomes.
Main Methods:
- Development of a prediction method based on read-through similarity evaluation.
- Application of the method to analyze a dataset of microbial genomes.
Main Results:
- The method successfully identified almost all previously known cases of selenocysteine and pyrrolysine incorporation.
- The analysis revealed a number of novel candidate proteins incorporating these rare amino acids.
Conclusions:
- The developed method is effective for predicting stop codon recoding events.
- This approach aids in the discovery of proteins with expanded amino acid repertoires, advancing our understanding of protein diversity.
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