Simultaneously improving the activity and thermostability of a new proline 4-hydroxylase by loop grafting and site-directed mutagenesis

Engineering Hydroxylase Activity, Selectivity, and Stability for a Scalable Concise Synthesis of a Key Intermediate to Belzutifan

Biocatalytic oxidations are an emerging technology for selective C-H bond activation. While promising for a range of selective oxidations, practical use of enzymes catalyzing aerobic hydroxylation is presently limited by their substrate scope and stability under industrially relevant conditions. Here, we report the engineering and practical application of a non-heme iron and α-ketoglutarate-dependent dioxygenase for the direct stereo- and regio-selective hydroxylation of a non-native fluoroindanone en route to the oncology treatment belzutifan, replacing a five-step chemical synthesis with a direct enantioselective hydroxylation. Mechanistic studies indicated that formation of the desired product was limited by enzyme stability and product overoxidation, with these properties subsequently improved by directed evolution, yielding a biocatalyst capable of >15,000 total turnovers. Highlighting the industrial utility of this biocatalyst, the high-yielding, green, and efficient oxidation was demonstrated at kilogram scale for the synthesis of belzutifan.

DeepTM: A deep learning algorithm for prediction of melting temperature of thermophilic proteins directly from sequences

Thermally stable proteins find extensive applications in industrial production, pharmaceutical development, and serve as a highly evolved starting point in protein engineering. The thermal stability of proteins is commonly characterized by their melting temperature (Tm). However, due to the limited availability of experimentally determined Tm data and the insufficient accuracy of existing computational methods in predicting Tm, there is an urgent need for a computational approach to accurately forecast the Tm values of thermophilic proteins. Here, we present a deep learning-based model, called DeepTM, which exclusively utilizes protein sequences as input and accurately predicts the Tm values of target thermophilic proteins on a dataset consisting of 7790 thermophilic protein entries. On a test set of 1550 samples, DeepTM demonstrates excellent performance with a coefficient of determination (R2) of 0.75, Pearson correlation coefficient (P) of 0.87, and root mean square error (RMSE) of 6.24 ℃. We further analyzed the sequence features that determine the thermal stability of thermophilic proteins and found that dipeptide frequency, optimal growth temperature (OGT) of the host organisms, and the evolutionary information of the protein significantly affect its melting temperature. We compared the performance of DeepTM with recently reported methods, ProTstab2 and DeepSTABp, in predicting the Tm values on two blind test datasets. One dataset comprised 22 PET plastic-degrading enzymes, while the other included 29 thermally stable proteins of broader classification. In the PET plastic-degrading enzyme dataset, DeepTM achieved RMSE of 8.25 ℃. Compared to ProTstab2 (20.05 ℃) and DeepSTABp (20.97 ℃), DeepTM demonstrated a reduction in RMSE of 58.85% and 60.66%, respectively. In the dataset of thermally stable proteins, DeepTM (RMSE=7.66 ℃) demonstrated a 51.73% reduction in RMSE compared to ProTstab2 (RMSE=15.87 ℃). DeepTM, with the sole requirement of protein sequence information, accurately predicts the melting temperature and achieves a fully end-to-end prediction process, thus providing enhanced convenience and expediency for further protein engineering.

Simultaneously improving the specific activity and thermostability of α-amylase BLA by rational design

Higher activity and alkaline α-amylases are desired for textile desizing and detergent additive. Here, rational design was used to improve the specific activity and thermostability of the α-amylase BLA from Bacillus licheniformis. Seventeen mutants of BLA were designed based on sequence consensus analysis and folding free energy calculation, and characterized by measuring their respective activity and thermostability at pH 8.5. Among them, mutant Q360C exhibited nearly threefold improved activity than that of wild-type and retained a higher residual activity (75% vs 59% for wild-type) after preincubation at 70 ℃ for 30 min. The modeled structures and molecular dynamics simulations analysis demonstrated that the enhanced hydrophobic interaction near residue 360 and reduced disturbance to the conformation of catalytic residues are the possible reasons for the improved thermostability and activity of Q360C. The results suggest that 360th of BLA may act as a hotspot for engineering other enzymes in the GH13 superfamily.

Modular reconstruction and optimization of the trans-4-hydroxy-L-proline synthesis pathway in Escherichia coli

Background

In recent years, there has been a growing demand for microbial production of trans-4-hydroxy-L-proline (t4Hyp), which is a value-added amino acid and has been widely used in the fields of medicine, food, and cosmetics. In this study, a multivariate modular metabolic engineering approach was used to remove the bottleneck in the synthesis pathway of t4Hyp.

Results

Escherichia coli t4Hyp synthesis was performed using two modules: a α-ketoglutarate (α-KG) synthesis module (K module) and L-proline synthesis with hydroxylation module (H module). First, α-KG attrition was reduced, and then, L-proline consumption was inhibited. Subsequently, to improve the contribution to proline synthesis with hydroxylation, optimization of gene overexpression, promotor, copy number, and the fusion system was performed. Finally, optimization of the H and K modules was performed in combination to balance metabolic flow. Using the final module H1K4 in a shaking flask culture, 8.80 g/L t4Hyp was produced, which was threefold higher than that produced by the W0 strain.

Conclusions

These strategies demonstrate that a microbial cell factory can be systematically optimized by modular engineering for efficient production of t4Hyp.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12934-022-01884-4.

Insertions and deletions in protein evolution and engineering

Protein evolution or engineering studies are traditionally focused on amino acid substitutions and the way these contribute to fitness. Meanwhile, the insertion and deletion of amino acids is often overlooked, despite being one of the most common sources of genetic variation. Recent methodological advances and successful engineering stories have demonstrated that the time is ripe for greater emphasis on these mutations and their understudied effects. This review highlights the evolutionary importance and biotechnological relevance of insertions and deletions (indels). We provide a comprehensive overview of approaches that can be employed to include indels in random, (semi)-rational or computational protein engineering pipelines. Furthermore, we discuss the tolerance to indels at the structural level, address how domain indels can link the function of unrelated proteins, and feature studies that illustrate the surprising and intriguing potential of frameshift mutations.

Metabolic engineering strategy for synthetizing trans-4-hydroxy-L-proline in microorganisms

Trans-4-hydroxy-L-proline is an important amino acid that is widely used in medicinal and industrial applications, particularly as a valuable chiral building block for the organic synthesis of pharmaceuticals. Traditionally, trans-4-hydroxy-L-proline is produced by the acidic hydrolysis of collagen, but this process has serious drawbacks, such as low productivity, a complex process and heavy environmental pollution. Presently, trans-4-hydroxy-L-proline is mainly produced via fermentative production by microorganisms. Some recently published advances in metabolic engineering have been used to effectively construct microbial cell factories that have improved the trans-4-hydroxy-L-proline biosynthetic pathway. To probe the potential of microorganisms for trans-4-hydroxy-L-proline production, new strategies and tools must be proposed. In this review, we provide a comprehensive understanding of trans-4-hydroxy-L-proline, including its biosynthetic pathway, proline hydroxylases and production by metabolic engineering, with a focus on improving its production.

Engineering endogenous l-proline biosynthetic pathway to boost trans-4-hydroxy-l-proline production in Escherichia coli

Non-proteinogenic trans-4-hydroxy-l-proline (t4HYP), a crucial naturally occurred amino acid, is present in most organisms. t4HYP is a regio- and stereo-selectively hydroxylated product of l-proline and a valuable building block for pharmaceutically important intermediates/ingredients synthesis. Microbial production of t4HYP has aroused extensive investigations because of its low-cost and environmentally benign features. Herein, we reported metabolic engineering of endogenous l-proline biosynthetic pathway to enhance t4HYP production in trace l-proline-producing Escherichia coli BL21(DE3) (21-S0). The genes responsible for by-product formation from l-proline, pyruvate, acetyl-CoA, and isocitrate in the biosynthetic network of 21-S0 were knocked out to channel the metabolic flux towards l-proline biosynthesis. PdhR was knocked out to remove its negative regulation and aceK was deleted to ensure isocitrate dehydrogenase's activity and to increase NADPH/NADP⁺ level. The other genes for l-proline biosynthesis were enhanced by integration of strong promoters and 5'-untranslated regions. The resulting engineered E. coli strains 21-S1 ∼ 21-S9 harboring a codon-optimized proline 4-hydroxylase-encoding gene (P4H) were grown and fermented. A titer of 4.82 g/L of t4HYP production in 21-S6 overexpressing P4H was obtained at conical flask level, comparing with the starting 21-S0 (26 mg/L). The present work paves an efficient metabolic engineering way for higher t4HYP production in E. coli.

Enzymatic production of trans-4-hydroxy-l-proline by proline 4-hydroxylase

Trans-4-hydroxy-l-proline (Hyp) is a useful chiral building block for production of many nutritional supplements and pharmaceuticals. However, it is still challenging for industrial production of Hyp due to heavy environmental pollution and low production efficiency. To establish a green and efficient process for Hyp production, the proline 4-hydroxylase (DsP4H) from Dactylosporangium sp. RH1 was overexpressed and functionally characterized in Escherichia coli BL21(DE3). The recombinant DsP4H with l-proline as a substrate exhibited K_m , k_cat and k_cat /K_m values up to 0.80 mM, 0.52 s^-1 and 0.65 s^-1 ·mM^-1 respectively. Furthermore, DsP4H showed the highest activity at 35°C and pH 6.5 towards l-proline. The highest enzyme activity of 175.6 U mg^-1 was achieved by optimizing culture parameters. Under the optimal transformation conditions in a 5-l fermenter, Hyp titre, conversion rate and productivity were up to 99.9 g l^-1 , 99.9% and 2.77 g l^-1  h^-1 respectively. This strategy described here provides an efficient method for production of Hyp and thus has a great potential in industrial application.

Enzymatic reactions and microorganisms producing the various isomers of hydroxyproline

Hydroxyproline is an industrially important compound with applications in the pharmaceutical, nutrition, and cosmetic industries. trans-4-Hydroxy-L-proline is recognized as the most abundant of the eight possible isomers (hydroxy group at C-3 or C-4, cis- or trans-configuration, and L- or D-form). However, little attention has been paid to the rare isomers, probably due to their limited availability. This mini-review provides an overview of recent advances in microbial and enzymatic processes to develop practical production strategies for various hydroxyprolines. Here, we introduce three screening strategies, namely, activity-, sequence-, and metabolite-based approaches, allowing identification of diverse proline-hydroxylating enzymes with different product specificities. All naturally occurring hydroxyproline isomers can be produced by using suitable hydroxylases in a highly regio- and stereo-selective manner. Furthermore, crystal structures of relevant hydroxylases provide much insight into their functional roles. Since hydroxylases acting on free L-proline belong to the 2-oxoglutarate-dependent dioxygenase superfamily, cellular metabolism of Escherichia coli coupled with a hydroxylase is a valuable source of 2-oxoglutarate, which is indispensable as a co-substrate in L-proline hydroxylation. Further, microbial hydroxyproline 2-epimerase may serve as a highly adaptable tool to convert L-hydroxyproline into D-hydroxyproline. KEY POINTS: • Proline hydroxylases serve as powerful tools for selectivel-proline hydroxylation. • Engineered Escherichia coli are a robust platform for hydroxyproline production. • Hydroxyproline epimerase convertsl-hydroxyproline intod-hydroxyproline.

Engineering a thermostable version of D-allulose 3-epimerase from Rhodopirellula baltica via site-directed mutagenesis based on B-factors analysis

D-allulose has received increasing attention due to its excellent physiological properties and commercial potential. The D-allulose 3-epimerase from Rhodopirellula baltica (RbDAEase) catalyzes the conversion of D-fructose to D-allulose. However, its poor thermostability has hampered its industrial application. Site-directed mutagenesis based on homologous structures in which the residuals on high flexible regions were substituted according to B-factors analysis, is an effective way to improve the thermostability and robustness of an enzyme. RbDAEase showed substrate specificity toward D-allulose with a K_m of 58.57 mM and k_cat of 1849.43 min^-1. It showed a melting temperature (T_m) of 45.7 °C and half-life (t_1/2) of 52.3 min at pH 8.0, 60 °C with 1 mM Mn²⁺. The Site-directed mutation L144 F strengthened the thermostability to a Δt_1/2 of 50.4 min, ΔTm of 12.6 °C, and ΔT₅₀⁶⁰ of 22 °C. It also improved the conversion rate to 28.6%. Structural analysis reveals that a new hydrophobic interaction was formed by the mutation. Thus, site-directed mutagenesis based on B-factors analysis would be an efficient strategy to enhance the thermostability of designed ketose 3-epimerases.

Industrial Application of 2-Oxoglutarate-Dependent Oxygenases

C–H functionalization is a chemically challenging but highly desirable transformation. 2-oxoglutarate-dependent oxygenases (2OGXs) are remarkably versatile biocatalysts for the activation of C–H bonds. In nature, they have been shown to accept both small and large molecules carrying out a plethora of reactions, including hydroxylations, demethylations, ring formations, rearrangements, desaturations, and halogenations, making them promising candidates for industrial manufacture. In this review, we describe the current status of 2OGX use in biocatalytic applications concentrating on 2OGX-catalyzed oxyfunctionalization of amino acids and synthesis of antibiotics. Looking forward, continued bioinformatic sourcing will help identify additional, practical useful members of this intriguing enzyme family, while enzyme engineering will pave the way to enhance 2OGX reactivity for non-native substrates.