Douglas Myers-Turnbull

The paper trains a deep metric learning model on zebrafish behavioral profiles to identify neuroactive compounds, achieving better performance than correlation distance and validating predictions with in vitro assays.

This paper introduces an open platform for classifying neuroactive compounds in zebrafish using phenotypic responses and provides a large dataset of drug effects.

The paper uses deep mutational scanning to explore how chemical perturbations affect ubiquitin's mutational tolerance, revealing sensitization of most positions except two.