Enzyme Catalysis and Immobilization

The paper shows that synonymous mutations, not nonsynonymous ones, drove growth improvements in bacterial THI4 enzymes adapted for plant use through continuous directed evolution.

This study shows that ionic liquids affect enzyme activity and enantioselectivity in carboligation reactions, with specific IL cations altering selectivity patterns.

This paper demonstrates the immobilization of NDT enzymes from extremophiles to enhance their stability, recyclability, and catalytic efficiency for nucleoside synthesis.

LevSeq rapidly generates sequence-function data for protein engineering using nanopore sequencing and dual barcoding, enabling directed evolution and machine learning applications.

This paper describes a one-pot biocatalytic cascade using PLP-dependent enzymes to synthesize diverse L-phenylalanine derivatives from aldehydes and carboxylic acids under mild conditions.

This paper uses AI-driven rational design and wet-lab analysis to create Taq polymerase mutants with enhanced reverse transcriptase activity while maintaining other key properties.

This paper discovers and characterizes two novel bacterial alcohol oxidases with high catalytic efficiency and synthetic potential for industrial chemical production.

This paper introduces a method to produce magnetic protein aggregates (MPAs) in vivo for enzyme immobilization, demonstrating their magnetic properties and ability to functionally attach enzymes.

The paper uses ProteinMPNN to stabilize Fe(II)/KG enzymes, enabling more effective directed evolution of new catalytic functions.

This study optimizes directed evolution protocols by analyzing selection conditions and sequencing coverage to improve efficiency and accuracy in identifying enriched mutants.

This paper uses machine learning and molecular dynamics to design improved variants of a non-heme iron-dependent lysine dioxygenase, achieving higher turnover numbers.

The paper uses molecular dynamics simulations to uncover the binding pathway of PET hydrolases into PET material and identifies key residues affecting PET entry.

This paper introduces a pore-engineered enzyme nanoreactor platform based on encapsulins to improve catalytic activity and substrate range.

The paper rationally designs a flavoenzyme Pnao with improved aerobic nicotine catabolism, showing activity in rat serum and identifying key residues for enzyme specificity.

This paper immobilizes a cyclodipeptide synthase on three supports to enable stable, recyclable production of the cyclic dipeptide cHE, demonstrating the feasibility of using immobilized enzymes with complex substrates.

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 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.

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

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

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.

This study uses machine learning to classify substrates for alcohol dehydrogenase superfamilies, reducing the need for high-throughput screening.

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.

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.

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.