Advances in Zero‐Shot Prediction‐Guided Enzyme Engineering Using Machine Learning DOI Open Access
Chang Liu, Junxian Wu, Yongbo Chen

et al.

ChemCatChem, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 23, 2024

Abstract The advent of machine learning (ML) has significantly advanced enzyme engineering, particularly through zero‐shot (ZS) predictors that forecast the effects amino acid mutations on properties without requiring additional labeled data for target enzyme. This review comprehensively summarizes ZS developed over past decade, categorizing them into kinetic parameters, stability, solubility/aggregation, and fitness. It details algorithms used, encompassing traditional ML approaches deep models, emphasizing their predictive performance. Practical applications in engineering specific enzymes are discussed. Despite notable advancements, challenges persist, including limited training necessity to incorporate environmental factors (e.g., pH, temperature) dynamics these models. Future directions proposed advance prediction‐guided thereby enhancing practical utility predictors.

Language: Английский

Use of Nicotinamide Mononucleotide as Non-Natural Cofactor DOI Open Access
Tahseena Naaz, Beom Soo Kim

Catalysts, Journal Year: 2025, Volume and Issue: 15(1), P. 37 - 37

Published: Jan. 3, 2025

Nicotinamide mononucleotide (NMN) has emerged as a promising non-natural cofactor with significant potential to transform biocatalysis, synthetic biology, and therapeutic applications. By modulating NAD⁺ metabolism, NMN offers unique advantages in enzymatic reactions, metabolic engineering, regenerative medicine. This review provides comprehensive analysis of NMN’s biochemical properties, mechanisms action, diverse Emphasis is placed on its role addressing challenges multi-enzyme cascades, biofuel production, the synthesis high-value chemicals. The paper also highlights critical research gaps, including need for scalable methods, improved integration into systems, toxicity studies use. Emerging technologies such AI-driven enzyme design CRISPR-based genome engineering are discussed transformative tools optimizing NMN-dependent pathways. Furthermore, synergistic biology innovations, cell-free systems dynamic regulatory networks, explored, paving way precise modular biotechnological solutions. Looking forward, versatility positions it pivotal tool advancing sustainable bioprocessing precision Addressing current limitations through interdisciplinary approaches will enable redefine boundaries innovation. serves roadmap leveraging across scientific industrial domains.

Language: Английский

Citations

0

Biocatalytic enzymes in food packaging, biomedical, and biotechnological applications: A comprehensive review DOI
Palanisamy Vasudhevan, Ruoyu Zhang, Hui Ma

et al.

International Journal of Biological Macromolecules, Journal Year: 2025, Volume and Issue: unknown, P. 140069 - 140069

Published: Jan. 1, 2025

Language: Английский

Citations

0

Innovative approaches for enzyme immobilization in milk processing: advancements and industrial applications DOI

Mati Ullah Khan,

A. Farid,

Shuang Liu

et al.

Critical Reviews in Food Science and Nutrition, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 20

Published: Jan. 22, 2025

The dairy industry is progressively integrating advanced enzyme technologies to optimize processing efficiency and elevate product quality. Among these technologies, immobilization has emerged as a pivotal innovation, offering considerable benefits in terms of reusability, stability, overall process sustainability. This review paper explores the latest improvements techniques their industrial applications within milk processing. It examines various strategies, including adsorption, affinity binding, ionic covalent entrapment, encapsulation, cross-linking, highlighting effectiveness improving performance key enzymes such lactases, lipases, proteases transglutaminases. also delves into economic ecological immobilization, emphasizing its role reducing production costs environmental impact while maintaining or enhancing quality products. By analyzing current trends technological developments, this provides comprehensive overview how innovative approaches are transforming concludes with discussion on future research directions potential applications, underscoring importance continued innovation field meet increasing demands global market.

Language: Английский

Citations

0

Screening Adaptive Microbial Hydrolytic Enzymes for Cleaner Production in Resource-Limited Settings DOI
Tunjung Mahatmanto

Industrial Biotechnology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 30, 2025

Language: Английский

Citations

0

Recent advances in recycling and upcycling of hazardous plastic waste: A review DOI

Shahrani Anuar,

Abu Hassan Nordin, Siti Muhamad Nur Husna

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 380, P. 124867 - 124867

Published: March 12, 2025

Language: Английский

Citations

0

Defatted Chia (Salvia Hispanica L.) Flour Peptides: Exploring Nutritional Profiles, Techno-Functional and Bio-Functional Properties, and Future Directions DOI Creative Commons

Etty Syarmila Ibrahim Khushairay,

Salma Mohamad Yusop, Mohamad Yusof Maskat

et al.

Current Research in Food Science, Journal Year: 2025, Volume and Issue: unknown, P. 101035 - 101035

Published: March 1, 2025

Language: Английский

Citations

0

Recent Advances in Microbial Enzyme Applications for Sustainable Textile Processing and Waste Management DOI Creative Commons
Mohd Faheem Khan

Sci, Journal Year: 2025, Volume and Issue: 7(2), P. 46 - 46

Published: April 9, 2025

Microbial enzymes have revolutionised the textile industry by replacing harmful chemicals with eco-friendly alternatives, enhancing processes such as desizing, scouring, dyeing, finishing, and promoting water conservation while reducing pollution. This review explores role of like amylases, pectinases, cellulases, catalases, laccases, peroxidases in sustainable processing, focusing on their ability to mitigate environmental pollution from effluents. The also examines types characteristics hazardous waste evaluates traditional treatment methods, highlighting alternatives microbial enzyme treatments for effluent treatment. Recent advancements recombinant technology, including engineering immobilisation techniques enhance stability, reusability, catalytic performance, are explored. Additionally, potential extremozymes processing is explored, emphasising stability under harsh industrial conditions. Strategies through enzyme-based presented, principles circular economy. addresses challenges scalability, cost, process optimisation, proposing solutions outlining future directions widespread adoption production management. underscores transformative achieving greener manufacturing practices.

Language: Английский

Citations

0

Advances in Zero‐Shot Prediction‐Guided Enzyme Engineering Using Machine Learning DOI Open Access
Chang Liu, Junxian Wu, Yongbo Chen

et al.

ChemCatChem, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 23, 2024

Abstract The advent of machine learning (ML) has significantly advanced enzyme engineering, particularly through zero‐shot (ZS) predictors that forecast the effects amino acid mutations on properties without requiring additional labeled data for target enzyme. This review comprehensively summarizes ZS developed over past decade, categorizing them into kinetic parameters, stability, solubility/aggregation, and fitness. It details algorithms used, encompassing traditional ML approaches deep models, emphasizing their predictive performance. Practical applications in engineering specific enzymes are discussed. Despite notable advancements, challenges persist, including limited training necessity to incorporate environmental factors (e.g., pH, temperature) dynamics these models. Future directions proposed advance prediction‐guided thereby enhancing practical utility predictors.

Language: Английский

Citations

0