Karsten Kreis (NVIDIA) and Tomas Geffner (NVIDIA) will talk about their recent paper Proteina - a novel flow-based protein backbone generative model that uses a new scalable transformer architecture and conditions on fold class labels.

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José Jiménez Luna (MSR) and Yu Xie (MSR) will talk about their recent paper BioEmu - a generative deep learning system that rapidly emulates protein structural ensembles and thermodynamic properties.

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Jeremy Wohlwend (MIT) and Gabriele Corso (MIT) will talk about their recent paper Boltz-1 - an open source deep learning model for 3D structure prediction of biomolecular complexes performing on-par with state-of-the-art commercial models.

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