Learning the shape of protein micro-environments with a holographic convolutional neural network

5 November 2022

Papers citing "Learning the shape of protein micro-environments with a holographic convolutional neural network"

5 / 5 papers shown

Title
Loop-Diffusion: an equivariant diffusion model for designing and scoring protein loops Kevin Borisiak Gian Marco Visani Armita Nourmohammad DiffM 29 0 0 26 Sep 2024
H-Packer: Holographic Rotationally Equivariant Convolutional Neural Network for Protein Side-Chain Packing Gian Marco Visani William Galvin Michael N. Pun Armita Nourmohammad 27 6 0 15 Nov 2023
Pairing interacting protein sequences using masked language modeling Umberto Lupo Damiano Sgarbossa Anne-Florence Bitbol 27 10 0 14 Aug 2023
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 24 3 0 30 Sep 2022
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 206 1,240 0 08 Jan 2021