Keith E. J. Tyo

This study engineers Acinetobacter baylyi to produce cyanophycin from wastewater nutrients, achieving high yields without arginine supplementation and expanding temperature tolerance.

This paper develops reaction rules informed by enzyme mechanisms to predict viable novel enzymatic reactions, achieving high coverage and precise atom identification.

This paper demonstrates a process for recovering nitrogen from manure using cyanophycin produced by genetically modified E. coli, showing the potential for sustainable nitrogen recovery from agricultural waste.

RC-GNN predicts enzyme-reaction pairs using amino acid sequences and reaction stoichiometry, achieving high ROC-AUC scores on diverse datasets.

BioPKS Pipeline automates the design of chimeric type I polyketide synthases and enzymatic pathways to synthesize target chemicals, achieving exact designs for 93 of 155 tested molecules and proposing routes for complex natural products.

The paper develops a high-throughput assay to profile and engineer TdT variants, identifying variants with altered nucleotide insertion biases that enhance DNA recording capabilities.

This paper demonstrates a system that encodes biosignals into genomic DNA of mammalian cells using TdT and CRISPR-Cas9, achieving 91% accuracy in encoding the message 'HELLO WORLD'.

This paper engineers DNA polymerase activity to respond to Ca2+ by modifying the Pol δ complex in yeast, enabling Ca2+-dependent biosensing.

This study demonstrates the use of Acinetobacter baylyi ADP1 to convert lignin-derived aromatic monomers into valuable natural products through genetic engineering and metabolic pathway optimization.

This paper develops a dynamic kinetic model of cell-free metabolism to optimize butanol production, identifying aldehyde/alcohol dehydrogenase as a key bottleneck.

This paper develops a DNA-based recording system using TdT to encode environmental signals with minutes resolution.

The paper identifies critical, beneficial, neutral, and harmful mutations in evolved yeast GPCRs through reversion analysis, revealing shared mechanisms for enhanced peptide detection.

This paper develops genetic tools for Acinetobacter baylyi ADP1 to enhance its use in sustainable chemical manufacturing and lignin bioprocessing.

This paper uses Bayesian inference with linear-logarithmic kinetics to efficiently estimate parameter uncertainty in metabolic models from multiomics data.

This paper introduces TURTLES, a DNA-based method to record temporal environmental signals with high resolution, achieving 2-minute accuracy over 60 minutes.

The paper introduces a new gene expression cassette called a riboregulated switchable feedback promoter (rSFP) to dynamically control gene expression in metabolic engineering, achieving higher titers in a Taxol precursor biosynthesis pathway.