Peter Clark

EGGNet is a geometric deep learning framework for predicting molecule-protein interactions, achieving competitive performance on binding affinity and interface prediction tasks.

This study introduces LM-GVP, a deep learning framework combining a protein Language Model and Graph Neural Network to predict protein properties from sequence and structure, outperforming existing methods on fluorescence, protease stability, and Gene Ontology function prediction.

AnthOligo automates the design of oligonucleotides for genomic capture technologies by optimizing parameters like Tm and ΔG while minimizing primer dimers.