Enzyme Catalysis and Immobilization

This paper demonstrates how SyrB2 iron halogenase can controllably halogenate non-native substrates to produce mono-, di-, and tri-chlorinated products by adjusting cofactor loading and electron transfer.

The paper attempts to engineer Candida boidinii formate dehydrogenase to use NMN+ as a cofactor but finds that designed mutations either fail to enhance activity or disrupt enzyme function entirely.

The paper identifies a stable and promiscuous Baeyer-Villiger monooxygenase from a thermophilic microorganism and demonstrates its potential as an industrial biocatalyst.

The paper investigates how surface charge mutations affect PETase activity on different PET substrates and identifies an engineered variant with improved degradation efficiency.

This study immobilizes α-amylase from Thermotoga maritima on different supports to enhance its stability in alcoholysis reactions, achieving high residual activity and octyl glucoside production.

The paper enhances the Chi.Bio bioreactor with pH control, demonstrating its effectiveness in PET hydrolysis with reduced enzyme requirements.

This study evaluates protein fusion strategies to simplify the multi-component electron transfer chain of a Rieske oxygenase, showing that fusing CDO-Red to CDO-Fd enables efficient oxygenase activation and product formation.

This paper improves enzyme engineering by combining active learning and experimental screening to efficiently discover high-performing artificial metalloenzymes.

The paper combines microfluidic screening with machine learning to rapidly engineer biocatalysts, achieving 23-fold improvement in catalytic efficiency through sequence-function mapping.

The paper develops a biosensor-AI system to engineer E. coli for efficient production of amaryllidaceae alkaloids, achieving improved titer and reduced byproducts.

This study screens mycelium-bound lipases from psychrotrophic and mesophilic fungi for biodiesel synthesis, finding Penicillium sp. 59 as a stable, efficient biocatalyst with 83.3% oil conversion.

The paper introduces a self-driving laboratory platform called SAMPLE for autonomous protein engineering, which successfully engineers thermostable enzymes with improved thermal tolerance.

The paper designs artificial cytochrome P450 enzymes by applying a 'three-point fixation' model derived from structural and evolutionary analysis, resulting in enzymes with enhanced catalytic activity.

This study develops an enzymatic method to produce fluorinated alanine enantiomers with high yield and enantiomeric excess.

The paper develops enzyme cascades for converting lignin-derived carboxylic acids into amines using cell-free and whole-cell biocatalysis, demonstrating new substrates and recyclable systems.

This paper reviews how generative AI can be used to analyze enzyme sequences, predict mutation effects, and improve enzyme engineering by uncovering functional patterns and evolutionary relationships.

This paper introduces a life-or-death selection platform for enzyme evolution that identifies highly efficient biocatalysts through serial passaging of carbamoylase variants.

The paper engineers a bacterial trimethylamine monooxygenase to increase its thermostability for industrial TMA remediation in fish protein hydrolysates.

This study improves the aerotolerance and activity of sulfide-dependent THI4 enzymes through directed evolution in yeast, identifying beneficial mutations that enhance their performance under aerobic conditions.

The paper investigates how active site mutations in FDOR enzymes affect stereoselectivity and reveals that a Tyr-Met mutation reverses stereoselectivity and alters hydrogenation mode.

This paper introduces a method to evolve protease activity and specificity using yeast display and alpha-2-macroglobulin-mediated covalent capture, demonstrating its application on six serine proteases.

This paper designs a polycarbonate hydrolase enzyme from scratch, demonstrating its ability to degrade polycarbonate not achievable by natural enzymes.

This paper demonstrates biocatalytic enzyme cascades that convert PET deconstruction products into valuable mono-amine and diamine building blocks.

This paper develops a biocatalytic cascade to convert cycloalkanes into aliphatic diamines using microbial consortia, achieving high productivity of 1,6-hexanediamine.

This paper describes an in vivo selection strategy using recoded bacteria to evolve biocatalysts with improved catalytic efficiency for non-canonical amino acids.

This study uses continuous directed evolution to engineer feedback-resistant Arabidopsis arogenate dehydratase in a microbial platform, achieving resistance comparable to a known variant.

The paper presents a vector system for rapidly designing and optimizing biocatalytic nanoreactors using P22 virus-like particles for encapsulating enzymes.

The paper identifies a novel archaeal fluorinase with the highest reported fluorination rate and demonstrates its application in enhancing fluoronucleotide production in bacterial hosts.

This paper introduces a biocatalyst platform using bacterial spores to display recombinant enzymes, enabling stress tolerance, recyclability, and autonomous renewal.

This study uses machine learning to guide directed evolution of PETase, resulting in mutants with higher optimal temperatures for PET degradation.