Allison N. Pearson

This paper refactors the Agrobacterium tumor-inducing plasmid into a minimal set of genes for plant and fungal transformation, demonstrating a bottom-up engineering approach.

This study uses RB-TnSeq to identify genetic basis of dicarboxylic acid metabolism in β-proteobacteria, revealing distinct metabolic pathways and enabling plastic waste upcycling.

The paper uses transposon sequencing data to characterize AraC/XylS family regulators in Pseudomonas putida, identifying inducer responses and improving inducible systems in E. coli.

This paper develops and optimizes a mevalonate-based monoterpene production platform in Corynebacterium glutamicum, achieving high titers of several monoterpenes.

Foldy provides a cloud-based platform for non-expert scientists to access AI-based structural biology tools like AlphaFold and DiffDock for protein structure prediction and ligand docking.

The paper introduces a family of 43 expression plasmids for precise gene expression in gram-negative bacteria, with constitutive and inducible systems tested in Escherichia coli and Pseudomonas putida.

This paper engineers Pseudomonas putida KT2440 to produce medium- and long-chain free fatty acids and oleochemicals, achieving titers up to 670 mg/L.

The paper develops a highly sensitive biosensor for caprolactam and valerolactam from Pseudomonas putida, capable of detecting product titers above background at ~6 g/L.

The paper characterizes two glutarate-sensing transcription factors in Pseudomonas putida and develops biosensors to detect glutarate flux for metabolic engineering.

This study identifies and disrupts genes in Pseudomonas putida that cause unwanted metabolism of valerolactam, increasing its production titer.