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Gian Marco Visani

Showing results (1-10 of 11) with videos related to

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Arxiv|October 14, 2024
Loop-Diffusion: an equivariant diffusion model for designing and scoring protein loopsKevin Borisiak, Gian Marco Visani, Armita Nourmohammad
Bioinformatics (Oxford, England)|January 30, 2021
Enzyme Promiscuity Prediction Using Hierarchy-Informed Multi-Label ClassificationGian Marco Visani, Michael C Hughes, Soha Hassoun
Arxiv|November 28, 2023
H-Packer: Holographic Rotationally Equivariant Convolutional Neural Network for Protein Side-Chain PackingGian Marco Visani, William Galvin, Michael N Pun, et al.
Physical Review Research|December 23, 2024
Holographic-(V)AE: An end-to-end SO(3)-equivariant (variational) autoencoder in Fourier spaceGian Marco Visani, Michael N Pun, Arman Angaji, et al.
Biorxiv : the Preprint Server for Biology|March 17, 2025
T-cell receptor specificity landscape revealed through de novo peptide designGian Marco Visani, Michael N Pun, Anastasia A Minervina, et al.
Arxiv|September 15, 2025
T-cell receptor specificity landscape revealed through de novo peptide designGian Marco Visani, Michael N Pun, Anastasia A Minervina, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 16, 2025
T cell receptor specificity landscape revealed through de novo peptide designGian Marco Visani, Michael N Pun, Anastasia A Minervina, et al.
Arxiv|July 23, 2024
HERMES: Holographic Equivariant neuRal network model for Mutational Effect and Stability predictionGian Marco Visani, Michael N Pun, William Galvin, et al.
Biorxiv : the Preprint Server for Biology|July 19, 2024
HERMES: Holographic Equivariant neuRal network model for Mutational Effect and Stability predictionGian Marco Visani, Michael N Pun, William Galvin, et al.
Biorxiv : the Preprint Server for Biology|December 9, 2024
Design of high specificity binders for peptide-MHC-I complexesBingxu Liu, Nathan F Greenwood, Julia E Bonzanini, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Arxiv|October 14, 2024
Loop-Diffusion: an equivariant diffusion model for designing and scoring protein loopsKevin Borisiak, Gian Marco Visani, Armita Nourmohammad
Bioinformatics (Oxford, England)|January 30, 2021
Enzyme Promiscuity Prediction Using Hierarchy-Informed Multi-Label ClassificationGian Marco Visani, Michael C Hughes, Soha Hassoun
Arxiv|November 28, 2023
H-Packer: Holographic Rotationally Equivariant Convolutional Neural Network for Protein Side-Chain PackingGian Marco Visani, William Galvin, Michael N Pun, et al.
Physical Review Research|December 23, 2024
Holographic-(V)AE: An end-to-end SO(3)-equivariant (variational) autoencoder in Fourier spaceGian Marco Visani, Michael N Pun, Arman Angaji, et al.
Biorxiv : the Preprint Server for Biology|March 17, 2025
T-cell receptor specificity landscape revealed through de novo peptide designGian Marco Visani, Michael N Pun, Anastasia A Minervina, et al.
Arxiv|September 15, 2025
T-cell receptor specificity landscape revealed through de novo peptide designGian Marco Visani, Michael N Pun, Anastasia A Minervina, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 16, 2025
T cell receptor specificity landscape revealed through de novo peptide designGian Marco Visani, Michael N Pun, Anastasia A Minervina, et al.
Arxiv|July 23, 2024
HERMES: Holographic Equivariant neuRal network model for Mutational Effect and Stability predictionGian Marco Visani, Michael N Pun, William Galvin, et al.
Biorxiv : the Preprint Server for Biology|July 19, 2024
HERMES: Holographic Equivariant neuRal network model for Mutational Effect and Stability predictionGian Marco Visani, Michael N Pun, William Galvin, et al.
Biorxiv : the Preprint Server for Biology|December 9, 2024
Design of high specificity binders for peptide-MHC-I complexesBingxu Liu, Nathan F Greenwood, Julia E Bonzanini, et al.
Pageof 2