T-cell receptor specificity landscape revealed through de novo peptide design
Gian Marco Visani, Michael Neal Pun, Anastasia A. Minervina, Philip Bradley et autres
2 citationsbioRxiv (Cold Spring Harbor Laboratory)
Michael Neal Pun
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7Publications signalées
20Citations signalées
1Affiliations récentes
Institutions déclarées
Domaines associés
Protein Structure and DynamicsEnzyme Structure and FunctionMachine Learning in Materials ScienceCell Image Analysis TechniquesRNA and protein synthesis mechanisms
Publications récentes
HERMES: Holographic Equivariant neuRal network model for Mutational Effect and Stability prediction
Gian Marco Visani, William Galvin, Zac Jones, Michael Neal Pun et autres
3 citationsbioRxiv (Cold Spring Harbor Laboratory)
H-Packer: Holographic Rotationally Equivariant Convolutional Neural Network for Protein Side-Chain Packing.
Gian Marco Visani, William Galvin, Michael Neal Pun, Armita Nourmohammad
0 citationsPubMed
H-Packer: Holographic Rotationally Equivariant Convolutional Neural Network for Protein Side-Chain Packing
Gian Marco Visani, William Galvin, Michael Neal Pun, Armita Nourmohammad
6 citationsarXiv (Cornell University)
Machine-Learning Model Reveals Protein-Folding Physics
Armita Nourmohammad, Michael Neal Pun, Gian Marco Visani
2 citationsPhysics
Learning the shape of protein micro-environments with a holographic convolutional neural network
Michael Neal Pun, A. D. Ivanov, Quinn Bellamy, Zachary Montague et autres
7 citationsbioRxiv (Cold Spring Harbor Laboratory)
Holographic-(V)AE: an end-to-end SO(3)-Equivariant (Variational) Autoencoder in Fourier Space
Gian Marco Visani, Michael Neal Pun, Arman Angaji, Armita Nourmohammad
0 citationsbioRxiv (Cold Spring Harbor Laboratory)
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