David Errington

Nesso-1 is an open-source binding affinity prediction tool that is significantly faster than Boltz-2 while maintaining or improving accuracy on both in-distribution and out-of-distribution data.

This paper introduces FlashABB, a model that predicts antibody structures faster than sequence embedding models, enabling efficient access to 3D information for antibody stability and developability prediction.

This paper presents a computational pipeline for designing therapeutic antibodies using AI and physics-based methods, showing improved binding and developability across SARS-CoV-2 variants.