Exploration of the binding modes of L-asparaginase complexed with its amino acid substrates by molecular docking, dynamics and simulation

Engineering and Expression Strategies for Optimization of L-Asparaginase Development and Production

Genetic engineering for heterologous expression has advanced in recent years. Model systems such as Escherichia coli, Bacillus subtilis and Pichia pastoris are often used as host microorganisms for the enzymatic production of L-asparaginase, an enzyme widely used in the clinic for the treatment of leukemia and in bakeries for the reduction of acrylamide. Newly developed recombinant L-asparaginase (L-ASNase) may have a low affinity for asparagine, reduced catalytic activity, low stability, and increased glutaminase activity or immunogenicity. Some successful commercial preparations of L-ASNase are now available. Therefore, obtaining novel L-ASNases with improved properties suitable for food or clinical applications remains a challenge. The combination of rational design and/or directed evolution and heterologous expression has been used to create enzymes with desired characteristics. Computer design, combined with other methods, could make it possible to generate mutant libraries of novel L-ASNases without costly and time-consuming efforts. In this review, we summarize the strategies and approaches for obtaining and developing L-ASNase with improved properties.

Elucidation of the Active Form and Reaction Mechanism in Human Asparaginase Type III Using Multiscale Simulations

l-asparaginases catalyze the asparagine hydrolysis to aspartate. These enzymes play an important role in the treatment of acute lymphoblastic leukemia because these cells are unable to produce their own asparagine. Due to the immunogenic response and various side effects of enzymes of bacterial origin, many attempts have been made to replace these enzymes with mammalian enzymes such as human asparaginase type III (hASNaseIII). This study investigates the reaction mechanism of hASNaseIII through molecular dynamics simulations, quantum mechanics/molecular mechanics methods, and free energy calculations. Our simulations reveal that the dimeric form of the enzyme plays a vital role in stabilizing the substrate in the active site, despite the active site residues coming from a single protomer. Protomer-protomer interactions are essential to keep the enzyme in an active conformation. Our study of the reaction mechanism indicates that the self-cleavage process that generates an N-terminal residue (Thr168) is required to activate the enzyme. This residue acts as the nucleophile, attacking the electrophilic carbon of the substrate after a proton transfer from its hydroxyl group to the N-terminal amino group. The reaction mechanism proceeds with the formation of an acyl-enzyme complex and its hydrolysis, which turns out to be the rate-determining step. Our proposal of the enzymatic mechanism sheds light on the role of different active site residues and rationalizes the studies on mutations. The insights provided here about hASNaseIII activity could contribute to the comprehension of the disparities among different ASNases and might even guide the design of new variants with improved properties for acute lymphoblastic leukemia treatment.

Molecular cloning, characterization, and in-silico analysis of l-asparaginase from Himalayan Pseudomonas sp. PCH44

l-Asparaginase (l-ASNase) is a key enzyme used to treat acute lymphoblastic leukemia, a childhood blood cancer. Here, we report on the characterization of a recombinant l-ASNase (Ps44-asn II) from Pseudomonas sp. PCH44. The gene was identified from its genome, cloned, and overexpressed in the host Escherichia coli (E. coli). The recombinant l-ASNase (Ps44-ASNase II) was purified with a monomer size of 37.0 kDa and a homotetrameric size of 148.0 kDa. The purified Ps44-ASNase II exhibited optimum activity of 40.84 U/mg in Tris-HCl buffer (50 mM, pH 8.5) at 45 °C for 15 min. It retained 76.53% of enzyme activity at 45 °C after 120 min of incubation. The half-life and K _d values were 600 min and 1.10 × 10^-3 min^-1, respectively, at 45 °C. The kinetic constants values K _m and V _max were 0.56, 0.728 mM, and 29.41, 50.12 U/mg for l-asparagine and l-glutamine, respectively. However, k _cat for l-glutamine is more (30.91 s^-1) than l-asparagine (18.06 s^-1), suggesting that enzymes act more efficiently on l-glutamine than l-asparagine. The docking analysis of l-asparagine and l-glutamine with active site residues of the enzyme revealed a molecular basis for high l-glutaminase (L-GLNase) activity and provided insights into the role of key amino acid residues in the preferential enzymatic activities.

Supplementary Information

The online version contains supplementary material available at 10.1007/s13205-022-03224-0.

Engineering of a UDP-Glycosyltransferase for the Efficient Whole-Cell Biosynthesis of Siamenoside I in Escherichia coli

The combination of the insufficient availability and the complex structure of siamenoside I (SI), the sweetest glucoside isolated from Siraitia grosvenorii to date, limited its use as a natural sweetener. To solve this problem, an improved biocatalyst, UGT-M2, was semi-rationally created by engineering the uridine diphosphate glycosyltransferase UGT94-289-2 from S. grosvenorii for the monoglucosylation of mogroside IIIE (MG IIIE) to SI. Subsequently, an engineered Escherichia coli cell was constructed, which combined UGT-M2 with a UDP-glucose regeneration system to circumvent the need for expensive UDP-glucose to produce SI. After optimization, high-purity SI (>96.4%) was efficiently prepared from MG IIIE at a 1 L scale with a productivity of 29.78 g/(L day) and a molar yield of 76.5% and without using exogenous UDP-glucose. This study not only developed a whole-cell approach for the preparation of SI but also provided an alternative glycosyltransferase variant for SI biosynthesis with synthetic biology in the future.

Molecular docking study of L-Asparaginase I from Vibrio campbellii in the treatment of acute lymphoblastic leukemia (ALL)

The potential use of asparaginases has gained tremendous significance in the treatment of acute lymphoblastic leukemia (ALL). Earlier studies suggest L-asparaginases (L-ASP) extracted from Escherichia coli and Erwinia aroideae regulates L-asparagine (L-Asn) from the circulating blood. Prolonged exposure to these enzymes may lead to hypersensitivity reactions. So, it is important to find novel asparaginases with anti-cancer properties. The three-dimensional structure of L-ASP I from Vibrio campbellii was determined by homology modeling using EasyModeller v.4.0. The structure was validated with quality indexing tools and was deposited in Protein Model DataBase. Molecular docking was performed between L-ASP I and ligand substrate L-Asn to study enzyme-substrate interactions. Qualitative and quantitative analysis of L-ASP I enzyme was found to be reliable and stable with a significant protein quality factor (LG score: 7.129). The enzyme is a dimer, belongs to α/β class of proteins. The active sites comprises of N-glycosylation site and a catalytic triad (T14-S117-D92). The binding energy of the docked complex was calculated to be -7.45 kcal/mol. The amino acid T14 identified as a primary nucleophile essential for catalytic reaction. The enzyme L-ASP I of V. campbellii provides a detailed view of structure and functional aspects with ligand substrate L-Asn. This in silico investigation has explicitly demonstrated for the first time that cytosolic L-ASP Type I of V. campbellii to have a catalytic triad which was attributed only to periplasmic L-ASP Type II. Thus, L-ASP I can serve as anti-leukemic agent in the treatment, management and control of ALL.

In silico modelling and molecular dynamics simulation studies on L-Asparaginase isolated from bacterial endophyte of Ocimum tenuiflorum

Bioactive compounds from endophytes have been used to treat various diseases. In the present study, L-Asparaginase producing endophytes were isolated from Ocimum tenuiflorum (Tulasi) from NIT Warangal, Telangana, India to treat Acute Lymphoblastic Leukemia (ALL) in which L-Asparagine (L-Asn) deamination plays a vital role in ALL treatment. 20 (bacteria and fungi) out of 35 endophytes have been screened for L-Asparaginase production using rapid plate assay technique, in which four strains produced high amounts of L-Asparaginase. 16 s Ribosomal RNA sequencing studies were performed, Bacillus stratosphericus organism was identified, and purified L-Asparaginase sequence has been tailored using MALDI/TOF (Applied Biosystems). The homology model was developed by using MODELLER 9.15v as the endophyte lacks crystal structure of L-Asparaginase enzyme and validated by dint of quality index tools. Docking studies were performed using iGemdock 2.1v. In comparison, free energy binding efficiency of receptor towards L-Asparagine (L-Asn) is good with lesser energy -71.6 kcal/mol in comparison to L-Glutamine (L-Gln) having -67.7 kcal/mol. In order to find the stability of the docked complexes in dynamics environment, molecular dynamics and simulation studies were performed using GROMACS V4.6.5. The trajectory analysis for 10 ns shows the better RMSD, RMSF, Rg and average number of hydrogen bonds for complex 1 (L-Asparaginase + L-Asn docked complex). Hence, complex 1 was found to be more stable than Complex 2 (L-Asparaginase + L-Gln docked complex).

Multi level statistical optimization of l-asparaginase from Bacillus subtilis VUVD001

Physical and chemical factors influencing the anti-leukemic l-asparaginase enzyme production by Bacillus subtilis VUVD001 were optimized using multi-stage optimization on the basis of preliminary experimental outcomes obtained by conventional one-factor-at-a-time approach using shake flasks. Process variables namely carbon, nitrogen sources, pH and temperature were taken into consideration during response surface methodology (RSM) optimization. The finest enzyme activity of 0.51 IUml^-1 obtained by OFAT method was enhanced by 3.2 folds using RSM optimization. Artificial neural network (ANN) modelling and genetic algorithm (GA) based optimizations were further carried out to improve the enzyme drug yield. Results were also validated by conducting experiments at optimum conditions determined by RSM and GA optimization methods. The novel bacterium yielded in 2.88 IUml^-1 of enzyme activity at optimum process variables determined by GA optimization, i.e., 0.5% glucose, 8.0% beef extract, 8.3 pH and 49.9 °C temperature. The study explored the optimized culture conditions for better yielding of anti-leukemic enzyme drug from a new bacterial source namely Bacillus subtilis VUVD001.