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Protein model quality assessment using rotation-equivariant,
  hierarchical neural networks

Protein model quality assessment using rotation-equivariant, hierarchical neural networks

27 November 2020
Stephan Eismann
Patricia Suriana
Bowen Jing
Raphael J. L. Townshend
R. Dror
ArXivPDFHTML

Papers citing "Protein model quality assessment using rotation-equivariant, hierarchical neural networks"

5 / 5 papers shown
Title
Evaluating representation learning on the protein structure universe
Evaluating representation learning on the protein structure universe
Arian R. Jamasb
Alex Morehead
Chaitanya K. Joshi
Zuobai Zhang
Kieran Didi
...
Charles Harris
Jian Tang
Jianlin Cheng
Pietro Lio
Tom L. Blundell
SSL
53
12
0
19 Jun 2024
Graph Representation Learning for Interactive Biomolecule Systems
Graph Representation Learning for Interactive Biomolecule Systems
Xinye Xiong
Bingxin Zhou
Yu Guang Wang
AI4CE
GNN
81
0
0
05 Apr 2023
Molformer: Motif-based Transformer on 3D Heterogeneous Molecular Graphs
Molformer: Motif-based Transformer on 3D Heterogeneous Molecular Graphs
Fang Wu
Dragomir R. Radev
Huabin Xing
ViT
41
54
0
04 Oct 2021
Protein sequence-to-structure learning: Is this the end(-to-end
  revolution)?
Protein sequence-to-structure learning: Is this the end(-to-end revolution)?
É. Laine
Stephan Eismann
A. Elofsson
Sergei Grudinin
OOD
3DV
23
34
0
16 May 2021
Spherical convolutions on molecular graphs for protein model quality
  assessment
Spherical convolutions on molecular graphs for protein model quality assessment
Ilia Igashov
Nikita Pavlichenko
Sergei Grudinin
24
14
0
16 Nov 2020
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