3 papers
q-bio.BM2026
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.QM2025
T-cell receptor specificity landscape revealed through de novo peptide design
Gian Marco Visani, Michael N. Pun, Anastasia A. Minervina +3
T-cells play a key role in adaptive immunity by mounting specific responses against diverse pathogens. An effective binding between T-cell receptors (TCRs) and pathogen-derived pep…
physics.bio-ph2024
Loop-Diffusion: an equivariant diffusion model for designing and scoring protein loops
Kevin Borisiak, Gian Marco Visani, Armita Nourmohammad
Predicting protein functional characteristics from structure remains a central problem in protein science, with broad implications from understanding the mechanisms of disease to d…