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Stefania Vasilaki

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Open access Sep 2026

MIMOSA: Guiding De Novo Antibody Design with Natural Interaction Fingerprints

De novo antibody design promises to transform therapeutic antibody and nanobody discovery. Yet, success remains inconsistent across targets, with generative models often yielding no experimentally validated binders. Here we introduce MIMOSA (MIMic-Oriented Structural Antibody generation), a model-agnostic, inference-ti...

Brennan Abanades, Andrea Roncoli, Maniraj Bhagawati et al. · 0 citations
#protein folding Open access Aug 2026

DyAb: sequence-based antibody design and property prediction in a low-data regime

DyAb is a pair-wise representation built on top of a pre-trained protein language model that achieves a Spearman rank correlation of up to 0.85 on binding affinity prediction across monoclonal antibodies targeting three different antigens.

J. Lin, Jennifer L. Hofmann, A. Leaver-Fay et al. · 0 citations

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