Publications:
October 2026
Dual-graph deconvolution of enzyme fitness: an interpretable framework to identify and explain catalytic modulators.
Sergio Garcia Busto, Ethan Eschbach, Thomas A. Hopf, Chris Sander, Sergio Bacallado, Debora S. Marks. (in review) link
Sergio Garcia Busto, Ethan Eschbach, Thomas A. Hopf, Chris Sander, Sergio Bacallado, Debora S. Marks. (in review) link
March 2026
evedesign: accessible biosequence design with a unified framework.
Thomas A. Hopf, Artem Gazizov, Sergio Garcia Busto, Ethan Eschbach, SunJae Lee, Milot Mirdita, Rose Orenbuch, Khaoula Belahsen, David Ross, Chris Sander, Martin Steinegger, Simon d’Oelsnitz, Debora S. Marks. (in review) link
Thomas A. Hopf, Artem Gazizov, Sergio Garcia Busto, Ethan Eschbach, SunJae Lee, Milot Mirdita, Rose Orenbuch, Khaoula Belahsen, David Ross, Chris Sander, Martin Steinegger, Simon d’Oelsnitz, Debora S. Marks. (in review) link
April 2026
Predicting Peptide Aggregation with Protein Language Model Embeddings.
Ethan Eschbach, Kristine Deibler, Deepa Korani, Sebastian Swanson. Journal of Chemical Information and Modeling. link
Ethan Eschbach, Kristine Deibler, Deepa Korani, Sebastian Swanson. Journal of Chemical Information and Modeling. link
Side projects:
mMol
Ultra-optimized macOS molecular viewer with the look and feel of PyMOL (+10-30x the speed).
Ultra-optimized macOS molecular viewer with the look and feel of PyMOL (+10-30x the speed).