H-Packer: Holographic Rotationally Equivariant Convolutional Neural Network for Protein Side-Chain Packing

15 November 2023

Papers citing "H-Packer: Holographic Rotationally Equivariant Convolutional Neural Network for Protein Side-Chain Packing"

5 / 5 papers shown

Title
PolyConf: Unlocking Polymer Conformation Generation through Hierarchical Generative Models Fanmeng Wang Wentao Guo Qi Ou Hongshuai Wang Haitao Lin Hongteng Xu Zhifeng Gao AI4CE 30 1 0 11 Apr 2025
HERMES: Holographic Equivariant neuRal network model for Mutational Effect and Stability prediction Gian Marco Visani Michael N. Pun William Galvin Eric Daniel Kevin Borisiak Utheri Wagura Armita Nourmohammad 11 3 0 09 Jul 2024
Holographic-(V)AE: an end-to-end SO(3)-Equivariant (Variational) Autoencoder in Fourier Space Gian Marco Visani Michael N. Pun Arman Angaji Armita Nourmohammad BDL 19 3 0 30 Sep 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 172 1,100 0 27 Apr 2021
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials Simon L. Batzner Albert Musaelian Lixin Sun Mario Geiger J. Mailoa M. Kornbluth N. Molinari Tess E. Smidt Boris Kozinsky 188 1,229 0 08 Jan 2021