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Peer-Reviewed Publication
MAbs2025;17(1):2598093.December 1, 2025Journal Article

Engineering multispecific antibodies with complete killing selectivity through the closed-loop integration of machine learning and high-throughput experimentation.

Justin Grace1, Pierre-Yves Colin1, Dan Foxler1, Winston Haynes1, Catherine Howsham1, Leo Kassimatis1, Lida Mavrogonatou1, Rebecca Mighell1, James McClory1, Michael Mullin1, Tom Ogola1, Alex Townsend1, Sujata Ravi1, Leo Wossnig1, Gino van Heeke1
1LabGenius Therapeutics, R&D, London, UK.

Abstract

On-target, off-tumor toxicities remain a major barrier for T-cell engagers in solid tumors. We present EVATM, a closed-loop design platform integrating high-throughput functional assays with multi-objective Bayesian optimization to explore combinatorial T-cell engager (TCE) spaces. In a HER2×CD3 case study, iterative design-build-test-learn cycles  traversed 44,160 designs defined by valency, topo…

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