Raphael J. L. Townshend

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 8

Top Topics

Computational Approaches

Prediction Accuracy

Top Venues

NeurIPS Datasets and Benchmarks

Publications

Raphael J. L. Townshend, Martin Vögele, Patricia Suriana, Alexander Derry, Alexander Powers, Yianni Laloudakis, Sidhika Balachandar, Bowen Jing, Brandon M. Anderson, Stephan Eismann, Risi Kondor, Russ B. Altman, Ron O. Dror
ATOM3D: Tasks on Molecules in Three Dimensions. NeurIPS Datasets and Benchmarks (2021)
Raphael J. L. Townshend, Brent Townshend, Stephan Eismann, Ron O. Dror
Geometric Prediction: Moving Beyond Scalars. CoRR (2020)
Stephan Eismann, Raphael J. L. Townshend, Nathaniel Thomas, Milind Jagota, Bowen Jing, Ron O. Dror
Hierarchical, rotation-equivariant neural networks to predict the structure of protein complexes. CoRR (2020)
Bowen Jing, Stephan Eismann, Patricia Suriana, Raphael J. L. Townshend, Ron O. Dror
Learning from Protein Structure with Geometric Vector Perceptrons. CoRR (2020)
Stephan Eismann, Patricia Suriana, Bowen Jing, Raphael J. L. Townshend, Ron O. Dror
Protein model quality assessment using rotation-equivariant, hierarchical neural networks. CoRR (2020)
Raphael J. L. Townshend, Martin Vögele, Patricia Suriana, Alexander Derry, Alexander Powers, Yianni Laloudakis, Sidhika Balachandar, Brandon M. Anderson, Stephan Eismann, Risi Kondor, Russ B. Altman, Ron O. Dror
ATOM3D: Tasks On Molecules in Three Dimensions. CoRR (2020)
Raphael J. L. Townshend, Rishi Bedi, Patricia Suriana, Ron O. Dror
End-to-End Learning on 3D Protein Structure for Interface Prediction. NeurIPS (2019)
Raphael J. L. Townshend, Rishi Bedi, Ron O. Dror
Generalizable Protein Interface Prediction with End-to-End Learning. CoRR (2018)