Ethan Eschbach

The paper introduces a hybrid framework to isolate stability-independent activity effects in enzymes using dual-graph deconvolution, validated with experimental data.

This paper introduces a deep-learning model, PALM, that predicts peptide aggregation using protein language model embeddings, showing improved performance with larger datasets.

evedesign provides a unified framework for conditional biosequence design, enabling multiobjective workflows and experimental integration across various applications.