Jul 2026· Journal of Agricultural and Food Chemistry· Vol 74, pp. 22975-22987· 0 citations· 44 references
Medicine
TL;DR
This work rationally engineered flexible loops near the active site via molecular dynamics, NMsim, NMsim, sequence conservation analysis, and MAESTRO prediction, and obtained the optimal double mutant M1, which showed 1.54-fold higher specific activity and nearly 2-fold improved pH stability at pH 8, with a nearly doubled kcat while retaining substrate affinity.
Abstract
Mannan oligosaccharides (MOS) are valuable prebiotics, and enzymatic hydrolysis by β-mannanase is the preferred production route. Bacillus-derived GH26 β-mannanase (gmuG) holds industrial promise but suffers from low catalytic efficiency and weak pH stability. Here, we rationally engineered flexible loops near the active site via molecular dynamics, NMsim (normal mode-based geometric simulation), sequence conservation analysis, and MAESTRO prediction, and obtained the optimal double mutant M1 (E301K-T271V). Relative to the wild type, M1 showed 1.54-fold higher specific activity and nearly 2-fold improved pH stability at pH 8, with a nearly doubled kcat while retaining substrate affinity. Mechanistically, M1 enlarged the active site, shortened the attack distance of the catalytic residue, increased α-helix content, and rigidified neighboring loops. Fermentation optimization in Escherichia coli gave a maximum yield of 924.34 U/mL. This work offers an effective strategy for β-mannanase engineering and a high-performance biocatalyst for industrial MOS production.
The industrial application of enzyme catalysts is often constrained by the trade-off between thermostability and catalytic activity. Here, a region-focused engineering strategy was applied to a thermophilic GH10 xylanase to simultaneously improve both properties. The strategy integrates qProtein-guided hydrophobic cluster design for scaffold stabilization and dynamic loop analysis for active-site optimization. The resulting triple mutant A206S-N209D-F130L exhibited substantially improved thermostability, with a 5.79 °C increase in melting temperature and an 18.8-fold extension of the half-life at 60 °C. Its optimum temperature increased from 60 to 70 °C, accompanied by a 129.4% enhancement in catalytic activity at 70 °C relatively to the wild type. Molecular dynamics simulations indicated that these mutations reshape the conformational energy landscape by stabilizing hydrophobic packing and modulating loop dynamics. This study provides a generalizable framework for simultaneously improving enzyme stability and catalytic performance.
Zhaoran Li, Zhixin Dou, Sha Zhao et al.· Journal of Agricultural and...· 0 citations
The rational engineering of an α-L-rhamnosidase (DthRha) to address limitations and enhance its performance for flavonoid production highlights the R783A mutant as a robust and thermally stable biocatalyst with great potential for the sustainable production of bioactive flavonoids.
Haoyu Jia, Luran Wang, Tong Yan et al.· International Journal of Bio...· 0 citations
d-Allulose 3-epimerase (DAEase) catalyzes d-fructose conversion to d-allulose, but the poor thermostability of Clostridium cellulolyticum H10 DAEase limits its industrial application. Here, we enhanced DAEase thermostability by targeting the subunit interface using PROSS-guided combinatorial engineering and spatial clustering. Candidate mutations were classified into interface core, interface-adjacent, and distal regions, followed by stepwise iterative combination. Two mutants, M5 and M6, retained WT-like activity but showed markedly improved thermostability. The Tm values of M5 and M6 increased by 11.4 and 12.4 °C, respectively, while their half-lives at 65 °C increased 3-fold and 12-fold. Structural analysis indicated that interface mutations promoted salt-bridge reconstruction, distal mutations stabilized monomers, and interface-adjacent mutations optimized the assembly microenvironment. This spatially coordinated strategy provides an effective approach for engineering thermostable multimeric enzymes.
Kaifan Qiu, Xingfei Li, Yuxiang Bai et al.· Journal of Agricultural and...· 0 citations
Aspartase from Escherichia coli (AspA) catalyzes the direct conversion of acrylic acid to β-alanine; however, its substrate specificity and low catalytic efficiency limit its broader application. We engineered an AspA mutant capable of efficiently catalyzing the amination of acrylic acid for β-alanine synthesis, using Rosetta Enzyme Design to computationally redesign the Cβ-binding region of the acrylic acid binding site in AspA. Based on energy scores, structural configurations, and hydrogen bonding networks, 51 candidate variants with penalty scores below 30 were selected for mutant construction and performance testing; >70% of these variants exhibited enhanced catalytic activity in acrylic acid’s hydrogen amination. Four mutants achieved over 3-fold improved activity. The optimal mutant, M1 (T190I-M324I-K327L-N329C), demonstrated a 7.3-fold increased specific enzyme activity and a 13.0-fold improved kcat/Km compared with the wild type. Conformational changes in the S-loop and enhanced hydrophobic interactions near the active site contributed significantly to M1’s enhanced activity. Upon reaction optimization, the conversion of β-alanine synthesis using M1 in whole-cell catalysis increased from 5% with the wild type to 90% with M1. This study provides a reference for the biocatalytic synthesis of β-alanine, significantly enhancing the conversion of acrylic acid and demonstrating the enzyme’s potential for industrial applications.
Long-Xian Li, Baodi Ma, Yi Xu· Catalysts· 0 citations
Xylanases with high catalytic efficiency and environmental robustness are important for lignocellulosic biomass valorization, but many enzymes are rapidly inactivated under the alkaline and high-temperature conditions used in industrial processes. In this study, a computationally guided rational-design strategy was developed to improve the catalytic performance and stability of the alkaline xylanase BhS7Xyl. Constant-pH molecular dynamics, isothermal compressibility perturbation analysis, and ECNet-assisted fitness prediction were integrated to identify alkaline-sensitive and structurally unstable residues for engineering. The triple mutant H51R/D150N/E287K showed the best overall performance, with a specific activity of 1045.29 U/mg, representing a 3.73-fold increase compared with the wild type. Its melting temperature increased from 55.82 °C to 64.58 °C, while its half-life at pH 10.0 increased from 33.96 to 95.84 min. The thermal half-life at 75 °C was extended from 10.97 to 215.42 min, corresponding to a 19.64-fold improvement. Structural analyses suggested that the improved performance of H51R/D150N/E287K was associated with a more continuous xylohexaose-binding interface, increased hydrogen-bonding contacts, additional electrostatic/polar interactions, strengthened local interaction networks and enhanced dissipation of local thermal perturbation. Under optimized hydrolysis conditions, the triple mutant produced higher levels of xylose and xylooligosaccharides from standard xylan, corn cob xylan, and hardwood pulp xylan than the wild type. These work demonstrates that multi-shell electrostatic remodeling is a useful strategy for improving the activity, alkaline tolerance, and thermal stability of xylanase for xylooligosaccharide production.
Chun-Lin Tan, Xin Yu, Lanxi Sun et al.· International Journal of Bio...· 0 citations
Fe(II)/α-ketoglutarate (αKG)-dependent halogenases that catalyze site-selective C-H halogenation of free substrates without carrier proteins are attractive biocatalysts for diversifying pharmaceuticals and agrochemicals. However, their application remains limited by the narrow diversity of natural halogenases, poor stability, and restricted substrate scope. Protein stabilization is a common strategy to enhance mutational tolerance during enzyme engineering; however, Fe(II)/αKG-dependent halogenases are structurally closely related to hydroxylases, and consensus-based stabilizing mutations risk shifting activity toward competing hydroxylation. To address this challenge, a workflow was designed to improve structural stability while preserving substrate and product specificity by combining computational identification of substrate-recognition residues with Rosetta-based stabilization. This approach was applied to the l-lysine 4-chlorinase BesD from Streptomyces cattleya as a model enzyme. The resulting variants exhibited a T50 increase of more than 45 °C with no loss of substrate specificity or regioselective chlorination activity and served as stable seed enzymes for subsequent substrate scope expansion. This strategy, which systematically excludes substrate recognition- and/or reaction-selectively related residues from the mutation space to preserve native enzyme function, may provide a versatile platform for stabilizing enzymes without substantially compromising catalytic activity.
Teppei Niide, Keita Miyawaki, Hyuga Miyamoto et al.· ACS Chemical Biology· 0 citations