Generalizable Protein Interface Prediction with End-to-End Learning. - Raphael J. L. Townshend; Rishi Bedi; Ron O. Dror (CoRR, 2018)

End-to-End Learning on 3D Protein Structure for Interface Prediction. - Raphael J. L. Townshend; Rishi Bedi; Patricia Suriana; Ron O. Dror (NeurIPS, 2019)

Hierarchical, rotation-equivariant neural networks to predict the structure of protein complexes. - Stephan Eismann; Raphael J. L. Townshend; Nathaniel Thomas; Milind Jagota; Bowen Jing; Ron O. Dror (CoRR, 2020)

Geometric Prediction: Moving Beyond Scalars. - Raphael J. L. Townshend; Brent Townshend; Stephan Eismann; Ron O. Dror (CoRR, 2020)

Protein model quality assessment using rotation-equivariant, hierarchical neural networks. - Stephan Eismann; Patricia Suriana; Bowen Jing; Raphael J. L. Townshend; Ron O. Dror (CoRR, 2020)

ATOM3D: Tasks On Molecules in Three Dimensions. - Raphael J. L. Townshend; Martin Vögele; Patricia Suriana; Alexander Derry; Alexander S. Powers; Yianni Laloudakis; Sidhika Balachandar; Brandon M. Anderson; Stephan Eismann; Risi Kondor; Russ B. Altman; Ron O. Dror (CoRR, 2020)

Learning from Protein Structure with Geometric Vector Perceptrons. - Bowen Jing; Stephan Eismann; Patricia Suriana; Raphael John Lamarre Townshend; Ron O. Dror (ICLR, 2021)

ATOM3D: Tasks on Molecules in Three Dimensions. - Raphael J. L. Townshend; Martin Vögele; Patricia Suriana; Alexander Derry; Alexander S. Powers; Yianni Laloudakis; Sidhika Balachandar; Bowen Jing; Brandon M. Anderson; Stephan Eismann; Risi Kondor; Russ B. Altman; et al. (NeurIPS Datasets and Benchmarks, 2021)

Geometric learning of biomolecular structure. - Raphael J. L. Townshend (2021)