Alex Morehead

This paper introduces GCP-VQVAE, a geometry-complete tokenizer for protein structures, achieving state-of-the-art performance on benchmark datasets and demonstrating robust generalization to unseen proteins.

gRNAde designs RNA sequences based on 3D backbone structures using geometric deep learning, achieving higher native sequence recovery than Rosetta on benchmark tasks.

This work introduces an equivariant graph neural network to predict tertiary structural changes from single-site mutations, outperforming AlphaFold in mutant structure prediction.

This paper introduces DProQA, a gated graph transformer for assessing the quality of predicted protein complex structures, achieving third place in CASP15 quality assessment.

Deep generative models combined with high-throughput screening design de novo anti-HER2 antibodies without further optimization, yielding nanomolar binders functionally comparable or superior to trastuzumab.

The paper introduces EnQA, a 3D-equivariant graph neural network for assessing protein model quality, achieving state-of-the-art performance and outperforming AlphaFold2's own scores.