Robert E. Speight

The paper evaluates AlphaGenome's cross-species performance on mouse data, showing varying accuracy for different functional tasks and introduces a confidence scoring method for AI predictions.

The paper combines experimental screening with sequence-based deep learning to efficiently discover high-performing enzyme variants.

This study engineers Pseudomonas putida to secrete cellulase enzymes, enabling growth on cellulose oligomers.

This paper combines microfluidic high-throughput screening with a generative model to engineer an enzyme with improved specificity, achieving higher product enrichment than traditional screening methods.

This study demonstrates the use of a Leishmania cell-free system to express and assay human P450 enzymes 3A4 and 2D6, showing distinct reductase preferences and drug interaction consistency.

This study shows how by-products from lignin conversion can be used by Pseudomonas putida to eliminate the need for additional carbon sources, improving lignin valorisation efficiency.

The paper develops a cyanamide-inducible system for genome engineering in yeast, enabling selectable marker recycling and promoter characterization.

The paper develops a bacterial toxin-antitoxin system to manipulate and visualize tandem gene repeat copy numbers in yeast.

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.