Bruno E. Correia

15 papers A* 4Journal 11

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Boosting Protein Graph Representations through Static-Dynamic Fusion. ICML Pengkang Guo, Bruno E. Correia, Pierre Vandergheynst, Daniel Probst
2025	J	`jnl`	Flow-Based Fragment Identification via Binding Site-Specific Latent Representations. CoRR Rebecca M. Neeser, Ilia Igashov, Arne Schneuing, Michael M. Bronstein, Philippe Schwaller, Bruno E. Correia
2025	J	`jnl`	Multi-domain Distribution Learning for De Novo Drug Design. CoRR Arne Schneuing, Ilia Igashov, Adrian W. Dobbelstein, Thomas Castiglione, Michael M. Bronstein, Bruno E. Correia
2025	A*	`conf`	SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints. ICLR Miruna T. Cretu, Charles Harris, Ilia Igashov, Arne Schneuing, Marwin H. S. Segler, Bruno E. Correia, Julien Roy, Emmanuel Bengio, Pietro Lio
2024	J	`jnl`	Equivariant 3D-conditional diffusion model for molecular linker design. Nat. Mac. Intell. Ilia Igashov, Hannes Stärk, Clément Vignac, Arne Schneuing, Victor Garcia Satorras, Pascal Frossard, Max Welling, Michael M. Bronstein, Bruno E. Correia
2024	A*	`conf`	RetroBridge: Modeling Retrosynthesis with Markov Bridges. ICLR Ilia Igashov, Arne Schneuing, Marwin H. S. Segler, Michael M. Bronstein, Bruno E. Correia
2024	J	`jnl`	Structure-based drug design with equivariant diffusion models. Nat. Comput. Sci. Arne Schneuing, Charles Harris, Yuanqi Du, Kieran Didi, Arian Rokkum Jamasb, Ilia Igashov, Weitao Du, Carla P. Gomes, Tom L. Blundell, Pietro Lio, Max Welling, Michael M. Bronstein, Bruno E. Correia
2023	J	`jnl`	RetroBridge: Modeling Retrosynthesis with Markov Bridges. CoRR Ilia Igashov, Arne Schneuing, Marwin H. S. Segler, Michael M. Bronstein, Bruno E. Correia
2022	J	`jnl`	Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design. CoRR Ilia Igashov, Hannes Stärk, Clément Vignac, Victor Garcia Satorras, Pascal Frossard, Max Welling, Michael M. Bronstein, Bruno E. Correia
2022	J	`jnl`	RosettaSurf - A surface-centric computational design approach. PLoS Comput. Biol. Andreas Scheck, Stéphane Rosset, Michaël Defferrard, Andreas Loukas, Jaume Bonet, Pierre Vandergheynst, Bruno E. Correia
2022	J	`jnl`	Structure-based Drug Design with Equivariant Diffusion Models. CoRR Arne Schneuing, Yuanqi Du, Charles Harris, Arian R. Jamasb, Ilia Igashov, Weitao Du, Tom L. Blundell, Pietro Lió, Carla Gomes, Max Welling, Michael M. Bronstein, Bruno E. Correia
2021	A*	`conf`	Fast End-to-End Learning on Protein Surfaces. CVPR Freyr Sverrisson, Jean Feydy, Bruno E. Correia, Michael M. Bronstein
2019	J	`jnl`	rstoolbox - a Python library for large-scale analysis of computational protein design data and structural bioinformatics. BMC Bioinform. Jaume Bonet, Zander Harteveld, Fabian Sesterhenn, Andreas Scheck, Bruno E. Correia
2018	J	`jnl`	Rosetta FunFolDes - A general framework for the computational design of functional proteins. PLoS Comput. Biol. Jaume Bonet, Sarah Wehrle, Karen Schriever, Che Yang, Anne Billet, Fabian Sesterhenn, Andreas Scheck, Freyr Sverrisson, Barbora Veselkova, Sabrina Vollers, Roxanne Lourman, Mélanie Villard, Stéphane Rosset, Thomas Krey, Bruno E. Correia
2014	J	`jnl`	Proof of principle for epitope-focused vaccine design. Nat. Bruno E. Correia, John T. Bates, Rebecca J. Loomis, Gretchen Baneyx, Chris Carrico, Joseph G. Jardine, Peter Rupert, Colin E. Correnti, Oleksandr Kalyuzhniy, Vinayak Vittal, Mary J. Connell, Eric Stevens, Alexandria Schroeter, Man Chen, Skye MacPherson, Andreia M. Serra, Yumiko Adachi, Margaret A. Holmes, Yuxing Li, Rachel E. Klevit, Barney S. Graham, Richard T. Wyatt, David Baker, Roland K. Strong, James E. Crowe Jr., Philip R. Johnson, William R. Schief