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Review

Evolution as a Guide to Designing xeno Amino Acid Alphabets

1
Department of Biological Sciences, University of Maryland, Baltimore County, Baltimore, MD 21250, USA
2
Individualized Study Program, University of Maryland, Baltimore County, Baltimore, MD 21250, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Peter Lackner
Int. J. Mol. Sci. 2021, 22(6), 2787; https://doi.org/10.3390/ijms22062787
Received: 12 February 2021 / Revised: 1 March 2021 / Accepted: 5 March 2021 / Published: 10 March 2021
Here, we summarize a line of remarkably simple, theoretical research to better understand the chemical logic by which life’s standard alphabet of 20 genetically encoded amino acids evolved. The connection to the theme of this Special Issue, “Protein Structure Analysis and Prediction with Statistical Scoring Functions”, emerges from the ways in which current bioinformatics currently lacks empirical science when it comes to xenoproteins composed largely or entirely of amino acids from beyond the standard genetic code. Our intent is to present new perspectives on existing data from two different frontiers in order to suggest fresh ways in which their findings complement one another. These frontiers are origins/astrobiology research into the emergence of the standard amino acid alphabet, and empirical xenoprotein synthesis. View Full-Text
Keywords: amino acid; ncAA; protein structure prediction; optimality; chemistry space amino acid; ncAA; protein structure prediction; optimality; chemistry space
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MDPI and ACS Style

Mayer-Bacon, C.; Agboha, N.; Muscalli, M.; Freeland, S. Evolution as a Guide to Designing xeno Amino Acid Alphabets. Int. J. Mol. Sci. 2021, 22, 2787. https://doi.org/10.3390/ijms22062787

AMA Style

Mayer-Bacon C, Agboha N, Muscalli M, Freeland S. Evolution as a Guide to Designing xeno Amino Acid Alphabets. International Journal of Molecular Sciences. 2021; 22(6):2787. https://doi.org/10.3390/ijms22062787

Chicago/Turabian Style

Mayer-Bacon, Christopher, Neyiasuo Agboha, Mickey Muscalli, and Stephen Freeland. 2021. "Evolution as a Guide to Designing xeno Amino Acid Alphabets" International Journal of Molecular Sciences 22, no. 6: 2787. https://doi.org/10.3390/ijms22062787

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