Author

Dominique Beaini

Recursion (United States)ORCID 0000-0002-4613-9388Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Research Focus:software / tool· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

David Kwabi-Addo· 1 shared Gabriele CorsoiD· 1 shared Hannes StarkiD· 1 shared Jeremy WohlwendiD· 1 shared Julien Roy· 1 shared Mateo ReveiziD· 1 shared Noah GetziD· 1 shared Regina BarzilayiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperMolecular Biology

David Kwabi-Addo

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1 paper

Recent·Most cited

Boltz-2: Towards Accurate and Efficient Binding Affinity Prediction

Saro Passaro, Gabriele Corso, Jeremy Wohlwend, Mateo Reveiz, Stephan Thaler, Vignesh Ram Somnath, Noah Getz, Tally Portnoi, Julien Roy, Hannes Stark, David Kwabi-Addo, Dominique Beaini, Tommi Jaakkola, Regina Barzilay

Boltz-2 predicts protein–ligand affinity from its co-folded structures, nearing free-energy perturbation accuracy (average Pearson 0.66 on a 4-target FEP+ subset) at over 1000× lower compute.

bioRxiv · Jun 14, 2025 · PreprintMolecular Biology✦ In-depth digest