Eli J. Draizen

The paper introduces DeepUrfold, a deep generative model of protein structure that reveals continuous relationships in fold space beyond traditional discrete classifications.

Prop3D provides a platform for creating and sharing featurized protein domain datasets, with a focus on avoiding data leakage through evolutionary relationships.

The paper introduces a framework combining deep generative models and layerwise relevance propagation to identify ancestral peptide fragments in protein structures, revealing evolutionary relationships.

The paper introduces EVcouplings, a Python framework for coevolutionary sequence analysis that enables structure prediction and mutation effect assessment.