Thomas Fryer

This paper introduces Proton-PottsMPNN, a model that designs pH-sensitive binders by explicitly modeling protonation states, resulting in pH-dependent PD-L1 binders with transition pH values between 4.0 and 5.8.

This paper develops a pipeline combining yeast screening and AlphaFold3 to accelerate discovery of multi-target antibodies, finding that structural predictions improve binding specificity and solubility.

This study compares three protein structure prediction tools on snake venom toxins with no reference templates, finding AlphaFold2 performs best, while ColabFold is computationally less intensive.

The paper introduces a simplified method for amplifying plasmid DNA libraries using rolling circle amplification and endonuclease treatment to improve transformation efficiency in E. coli and S. cerevisiae.

ALOHA is an AI-guided tool that quantifies venom-induced haemorrhage in mice using smartphone imaging, reducing analysis time and human error.

This paper introduces a modular platform using polyacrylamide hydrogel beads for protein display and functional assays, demonstrating enhanced potency through valency engineering.