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Ron Dror

2 accepted papers

2021

Learning from Protein Structure with Geometric Vector Perceptrons

ICLR 2021spotlight

Learning on 3D structures of large biomolecules is emerging as a distinct area in machine learning, but there has yet to emerge a unifying network architecture that simultaneously leverages the geometric and relational aspects of the problem domain. To address this gap, we introduce geometric vector…

2019

End-to-End Learning on 3D Protein Structure for Interface Prediction

NeurIPS 2019poster

Despite an explosion in the number of experimentally determined, atomically detailed structures of biomolecules, many critical tasks in structural biology remain data-limited. Whether performance in such tasks can be improved by using large repositories of tangentially related structural data remai…