3-Ketosteroid-Δ-dehydrogenases (KstDs [EC 1.3.99.4]) catalyze the Δ-dehydrogenation of steroids and are a class of important enzymes for steroid biotransformations. In this study, we cloned 12 putative KstD-encoding (kstd) genes from both fungal and Gram-positive microorganisms and attempted to overproduce the recombinant proteins in E. coli BL21(DE3). Five successful recombinant enzymes catalyzed the Δ-desaturation of a variety of steroidal compounds such as 4-androstene-3,17-dione (AD), 9α-hydroxy-4-androstene-3,17-dione (9-OH-AD), hydrocortisone, cortisone, and cortexolone. However, the substrate specificity and catalytic efficiency of the enzymes differ depending on their sources. The purified KstD from Mycobacterium smegmatis mc155 (MsKstD1) displayed high catalytic efficiency toward hydrocortisone, progesterone, and 9-OH-AD, where it had the highest affinity (K 36.9 ± 4.6 μM) toward 9-OH-AD. On the other hand, the KstD from Rhodococcus erythropolis WY 1406 (ReKstD) exhibited high catalytic efficiency toward androst-4,9(11)-diene-3,17-dione (Diene), 21-acetoxy-pregna-4,9(11),16-triene-3,20-dione (Triene), and cortexolone, where in all three cases the K values (12.3 to 17.8 μM) were 2.5-4-fold lower than that toward hydrocortisone (46.3 μM). For both enzymes, AD was a good substrate although ReKstD had a 3-fold higher affinity than MsKstD1. Reaction conditions were optimized for the biotransformation of AD or hydrocortisone in terms of pH, temperature, and effects of hydrogen peroxide, solvent, and electron acceptor. For the biotransformation of hydrocortisone with 20 g/L wet resting E. coli cells harboring MsKstD1 enzyme, the yield of prednisolone was about 90% within 3 h at the substrate concentration of 6 g/L, demonstrating the application potential of the newly cloned KstDs.
Wild-type meso-diaminopimelate dehydrogenase (DAPDH) is usually specific to the native substrate, meso-2,6-diaminopimelate. Recently, a DAPDH from Symbiobacterium thermophilum (StDAPDH) was found to exhibit expanded substrate specificity. As such, its crystal structures in apo form and in complex with NADP(+) and both NADPH and meso-DAP were investigated to reveal the structural basis of its unique catalytic properties. Structural analysis results show that StDAPDH should prefer an ordered kinetic catalytic mechanism. A second substrate entrance tunnel with Met152 at its bottleneck was found, through which pyruvate/D-alanine might bind and enter the catalytic cavity, providing some structural insights into its high activity toward pyruvate. The side chain of Met152 might interact with Asp92 and Asn253, thus affecting the domain motion and catalysis. These results offer useful information for understanding the unique catalytic properties of StDAPDH and guiding further engineering of this enzyme.
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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.