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Updated: Apr 23, 2026

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
Published on: January 26, 2024
Characterization of (R)-selective amine transaminases identified by in silico motif sequence blast
Jinju Jiang1, Xi Chen, Dalong Zhang
1National Engineering Laboratory for Industrial Enzymes and Tianjin Engineering Center for Biocatalytic Technology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, 300308, China.
Abstract:
Compared to (S)-selective amine transaminase ((S)-AT), the (R)-selective counterpart ((R)-AT) has been less studied. As such, a simplified "Motif Sequence Blast" search (Höhne et al. Nat Chem Biol 6:807-813, 2010) was carried out to identify new (R)-ATs from the protein databases. The combined conserved sequence motifs of (R)-ATs based on the previous in silico method of predicting (R)-selective amine transaminase were used as the template sequence for BLASTP search at default settings in NCBI, and six candidate sequences were identified. These putative (R)-AT genes were synthesized and overexpressed in Escherichia coli. Among them, five new (R)-ATs were expressed as soluble protein and showed unusual substrate specificity and high stereoselectivity. Furthermore, several unnatural amino acids, such as D-alanine, D-2-aminobutyric acid, and D-norvaline, were synthesized via the (R)-AT-catalyzed amino transfer reaction to the corresponding keto acids. Optically pure (S)-amines were also obtained by kinetic resolution of racemic amines catalyzed with these new (R)-ATs. Therefore, the Motif Sequence Blast search offers a quick and effective method for in silico identification of new (R)-ATs, and the newly identified (R)-ATs are attractive additions to the toolbox of (R)-ATs for further study and industrial application.
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