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Freyr Sverrisson
Freyr Sverrisson
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Title
Cited by
Cited by
Year
Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning
P Gainza, F Sverrisson, F Monti, E Rodola, D Boscaini, MM Bronstein, ...
Nature Methods 17 (2), 184-192, 2020
5412020
Fast end-to-end learning on protein surfaces
F Sverrisson, J Feydy, BE Correia, MM Bronstein
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1162021
De novo design of protein interactions with learned surface fingerprints
P Gainza, S Wehrle, A Van Hall-Beauvais, A Marchand, A Scheck, ...
Nature 617 (7959), 176-184, 2023
642023
Rosetta FunFolDes–A general framework for the computational design of functional proteins
J Bonet, S Wehrle, K Schriever, C Yang, A Billet, F Sesterhenn, A Scheck, ...
PLoS computational biology 14 (11), e1006623, 2018
382018
Physics-informed deep neural network for rigid-body protein docking
F Sverrisson, J Feydy, J Southern, MM Bronstein, BE Correia
MLDD workshop of ICLR 2022, 2022
162022
Fast end-to-end learning on protein surfaces. 2021 IEEE
F Sverrisson, J Feydy, BE Correia, MM Bronstein
CVF Conference on Computer Vision and Pattern Recognition (CVPR), 15267-15276, 2021
102021
Deciphering interaction fingerprints from protein molecular surfaces
P Gainza, F Sverrisson, F Monti, E Rodola, MM Bronstein, BE Correia
BioRxiv, 606202, 2019
102019
Rodola, E., Boscaini, D., Bronstein, MM, and Correia, BE (2020). Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning
P Gainza, F Sverrisson, F Monti
Nat. Methods 17, 184-192, 0
7
De novo design of site-specific protein interactions with learned surface fingerprints
P Gainza, S Wehrle, A Van Hall-Beauvais, A Marchand, A Scheck, ...
bioRxiv, 2022.06. 16.496402, 2022
62022
Decoding surface fingerprints for protein-ligand interactions
I Igashov, AR Jamasb, A Sadek, F Sverrisson, A Schneuing, P Lio, ...
bioRxiv, 2022.04. 26.489341, 2022
42022
Predicting protein interactions using geometric deep learning on protein surfaces
F Sverrisson
EPFL, 2024
2024
DiffMaSIF: Surface-based Protein-Protein Docking with Diffusion Models
F Sverrisson, M Akdel, D Abramson, J Feydy, A Goncearenco, Y Adeshina, ...
Machine Learning in Structural Biology workshop at NeurIPS 2023, 2023
2023
Systems and methods for de novo design of protein interactions with learned surface fingerprints
PG Cirauqui, S Wehrle, A Van Hall-Beauvais, A Marchand, A Scheck, ...
US Patent App. 18/206,873, 2023
2023
DiffMaSIF: Score-Based Diffusion Models for Protein Surfaces
F Sverrisson, M Akdel, D Abramson, J Feydy, A Goncearenco, Y Adeshina, ...
2023
De novo design of site-specific protein interactions with learned surface fingerprints (preprint)
P Gainza, S Wehrle, A Van Hall-Beauvais, A Marchand, A Scheck, ...
2022
A method and system for fast end-to-end learning on protein surfaces
M Bronstein, F Sverrisson, J Pierre Feydy, P Gainza, ...
2022
De Novo Design of Site-specific Protein Binders Using Surface Fingerprints
S Wehrle, V Hall-Beauvais, P Gainza, Z Harteveld, A Scheck, F Sverrisson, ...
Protein Science 30, 162-163, 2021
2021
Decrypting interaction fingerprints in protein molecular surfaces
P Gainza, F Sverrisson, F Monti, M Bronstein, B Correia
European Biophysics Journal With Biophysics Letters 48, S224-S224, 2019
2019
Learning interaction patterns from surface representations of protein structure.
P Gainza, F Sverrisson, F Monti, E Rodolą, D Boscaini, M Bronstein, ...
Proceedings of Workshop on Graph Representation Learning at the 33rd …, 2019
2019
LPDI
J Bonet Martinez, SM Buckley, KM Castro Gilabert, RM Chassot, ...
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Articles 1–20