6 citations · 7 across the 2 of their papers we have counts for
2 papers
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…
physics.bio-ph2022★ 1 cited
Learning the shape of protein micro-environments with a holographic convolutional neural network
Michael N. Pun, Andrew Ivanov, Quinn Bellamy +5
Proteins play a central role in biology from immune recognition to brain activity. While major advances in machine learning have improved our ability to predict protein structure f…