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Deep learning for reconstructing protein structures from cryo-EM density
  maps: recent advances and future directions

Deep learning for reconstructing protein structures from cryo-EM density maps: recent advances and future directions

16 September 2022
Nabin Giri
Rajashree Roy
Jianlin Cheng
    3DV
ArXivPDFHTML

Papers citing "Deep learning for reconstructing protein structures from cryo-EM density maps: recent advances and future directions"

3 / 3 papers shown
Title
Beyond Current Boundaries: Integrating Deep Learning and AlphaFold for
  Enhanced Protein Structure Prediction from Low-Resolution Cryo-EM Maps
Beyond Current Boundaries: Integrating Deep Learning and AlphaFold for Enhanced Protein Structure Prediction from Low-Resolution Cryo-EM Maps
Xin
Ma
Dong Si
19
0
0
30 Oct 2024
Equivariant amortized inference of poses for cryo-EM
Equivariant amortized inference of poses for cryo-EM
Larissa de Ruijter
Gabriele Cesa
42
1
0
01 Jun 2024
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
172
1,103
0
27 Apr 2021
1