6 citations · 7 across the 2 of their papers we have counts for
2 papers
q-bio.BM2024★ 1 cited
HERMES: Holographic Equivariant neuRal network model for Mutational Effect and Stability prediction
Gian Marco Visani, William Galvin, Zac Jones +5
Predicting the stability and fitness effects of amino acid mutations in proteins is a cornerstone of biological discovery and engineering. Various experimental techniques have been…
q-bio.BM2023★ 6 cited
H-Packer: Holographic Rotationally Equivariant Convolutional Neural Network for Protein Side-Chain Packing
Gian Marco Visani, William Galvin, Michael Neal Pun +1
Accurately modeling protein 3D structure is essential for the design of functional proteins. An important sub-task of structure modeling is protein side-chain packing: predicting t…