引用次数
引用: 1,428
H-指数: 10
I10-指数 : 10
出版物: 27
User-Aided Geo-location of Untagged Desert Imagery
Eric Tzeng , Andrew Zhai , Matthew Clements , Raphael Townshend
Large-Scale Visual Geo-Localization 239 -254
2016
User-Driven Geolocation of Untagged Desert Imagery Using Digital Elevation Models
Eric Tzeng , Andrew Zhai , Matthew Clements , Raphael Townshend
computer vision and pattern recognition 237 -244
17
2013
RNA-Puzzles Round V: blind predictions of 23 RNA structures
Fan Bu , Yagoub Adam , Ryszard W Adamiak , Maciej Antczak
Nature Methods 1 -13
1
2024
Learning from Protein Structure with Geometric Vector Perceptrons
Ron Dror , Raphael J.L. Townshend , Patricia Suriana , Stephan Eismann
arXiv: Biomolecules
102
2020
Gold nanoparticles and tilt pairs to assess protein flexibility by cryo-electron microscopy.
Ron O. Dror , Maia Azubel , Roger D. Kornberg , David A. Bushnell
Ultramicroscopy 227 113302
2021
Hierarchical, rotation‐equivariant neural networks to select structural models of protein complexes
Stephan Eismann , Raphael J.L. Townshend , Nathaniel Thomas , Milind Jagota
Proteins 89 ( 5) 493 -501
2
2021
How GPCR Phosphorylation Patterns Orchestrate Arrestin-Mediated Signaling
Naomi R. Latorraca , Matthieu Masureel , Scott A. Hollingsworth , Franziska M. Heydenreich
Cell 183 ( 7)
70
2020
Geometric deep learning of RNA structure
Raphael JL Townshend , Stephan Eismann , Andrew M Watkins , Ramya Rangan
Science 373 ( 6558) 1047 -1051
125
2021
Atom3d: Tasks on molecules in three dimensions
Raphael JL Townshend , Martin Vögele , Patricia Suriana , Alexander Derry
arXiv preprint arXiv:2012.04035
109
2020
Protein model quality assessment using rotation-equivariant, hierarchical neural networks
Stephan Eismann , Patricia Suriana , Bowen Jing , Raphael JL Townshend
arXiv preprint arXiv:2011.13557
11
2020
Geometric prediction: Moving beyond scalars
Raphael JL Townshend , Brent Townshend , Stephan Eismann , Ron O Dror
arXiv preprint arXiv:2006.14163
8
2020
Protein model quality assessment using rotation‐equivariant transformations on point clouds
Stephan Eismann , Patricia Suriana , Bowen Jing , Raphael JL Townshend
Proteins: Structure, Function, and Bioinformatics 91 ( 8) 1089 -1096
1
2023
Euclidean transformers for macromolecular structures: Lessons learned
David D Liu , Ligia Melo , Allan Costa , Martin Vögele
2022 ICML Workshop on Computational Biology
1
2022
End-to-end learning on 3d protein structure for interface prediction
Raphael JL Townshend , Rishi Bedi , Patricia A Suriana , Ron O Dror
Neural Information Processing Systems
122
2018
ATOM-1: A foundation model for RNA structure and function built on chemical mapping data
Nicholas Boyd , Brandon M Anderson , Brent Townshend , Ryan Chow
bioRxiv 2023.12. 13.571579 -2023.12. 13.571579
2
2023
Transferrable End-to-End Learning for Protein Interface Prediction
Raphael JL Townshend , Rishi Bedi , Ron O Dror
Hierarchical, rotation‐equivariant neural networks to select structural models of protein complexes
Stephan Eismann , Raphael JL Townshend , Nathaniel Thomas , Milind Jagota
Proteins: Structure, Function, and Bioinformatics
61
2020
Hierarchical, rotation‐equivariant neural networks to select structural models of protein complexes
Stephan Eismann , Raphael JL Townshend , Nathaniel Thomas , Milind Jagota
Proteins: Structure, Function, and Bioinformatics
Learning from protein structure with geometric vector perceptrons (2021)
Bowen Jing , Stephan Eismann , Patricia Suriana , Raphael JL Townshend
arXiv preprint arXiv:2009.01411
9
2009
Methods, systems, and media method applying machine learning to chemical mapping data for rna tertiary structure prediction
Raphael John Lamarre Townshend , Stephan Johannes Eismann
2024