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Protein sequence-to-structure learning: Is this the end(-to-end
  revolution)?
v1v2 (latest)

Protein sequence-to-structure learning: Is this the end(-to-end revolution)?

Proteins: Structure, Function, and Bioinformatics (Proteins), 2021
16 May 2021
É. Laine
Stephan Eismann
A. Elofsson
Sergei Grudinin
    OOD3DV
ArXiv (abs)PDFHTML

Papers citing "Protein sequence-to-structure learning: Is this the end(-to-end revolution)?"

2 / 2 papers shown
Title
6DCNN with roto-translational convolution filters for volumetric data
  processing
6DCNN with roto-translational convolution filters for volumetric data processingAAAI Conference on Artificial Intelligence (AAAI), 2021
Dmitrii Zhemchuzhnikov
Ilia Igashov
Sergei Grudinin
3DPC
237
2
0
26 Jul 2021
Equivariant Graph Neural Networks for 3D Macromolecular Structure
Equivariant Graph Neural Networks for 3D Macromolecular Structure
Bowen Jing
Stephan Eismann
Pratham N. Soni
R. Dror
192
113
0
07 Jun 2021
1