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March 8, 20261 citations

Bind, catalyze, and quantify: a modern protein and enzyme engineering toolbox of genetically encoded non-canonical amino acids.

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SSSoren C. SpinaJBJoe BaileyBKBlaise R. Kimmel

Key Points

  • The aim is to explore advancements in using non-canonical amino acids for enhancing protein and enzyme functionalities.
  • Review of recent advancements from 2020-2025
  • Examination of metal-binding properties and programmable enzymatic behavior
  • Discussion of biocatalytic applications and enhancements in enzyme activity
  • Analysis of ncAAs as biophysical reporters for spectroscopic methods
  • Demonstrated enhancements in binding affinity and activity of proteins
  • Enabled novel reactivity in artificial enzyme systems
  • Showcased residue-level tracking of protein structure and dynamics

Abstract

Non-canonical amino acids (ncAAs) are versatile molecular building blocks that can enhance nearly every aspect of protein engineering, from improving binding affinity to enabling precise quantitative analyses. This review highlights advances from 2020-2025 that demonstrate how expanding the amino acid repertoire unlocks new functionalities. We examine how genetically encoded ncAAs diversify and tune metal-binding properties, enabling programmable coordination and redox behavior in engineered enzymes. Further, we explore biocatalytic applications, including multi-fold activity enhancements in natural enzymes and the introduction of entirely novel reactivity in artificial systems. Finally, we discuss the growing use of ncAAs as intrinsic biophysical reporters, which support a wide range of spectroscopic methods for tracking structure, dynamics, and interactions at residue-level resolution. These capabilities establish ncAAs as essential tools that can be deployed at any stage of the protein design process, from constructing new catalytic centers to quantifying molecular behaviors in real time.

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Cite This Study

Spina et al. (2026) studied this question.

synapsesocial.com/papers/69ada8dfbc08abd80d5bc3a7https://doi.org/10.1093/protein/gzag007
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