Ensembits is the first tokenizer of protein conformational ensembles that outperforms static tokenizers on RMSF prediction and matches them on function and mutation tasks while using less pretraining data.
(7) Vander Meersche, Y.; Cretin, G.; Gheeraert, A.; Gelly, J
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
DD-03B supplies 0.3 billion simulation frames from 19k ligand-protein dissociations together with assigned koff rates and a three-type mechanistic classification.
citing papers explorer
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ENSEMBITS: an alphabet of protein conformational ensembles
Ensembits is the first tokenizer of protein conformational ensembles that outperforms static tokenizers on RMSF prediction and matches them on function and mutation tasks while using less pretraining data.
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A Massively Scalable Ligand-Protein Dissociation Dynamic Database Derived from Atomistic Molecular Modelling
DD-03B supplies 0.3 billion simulation frames from 19k ligand-protein dissociations together with assigned koff rates and a three-type mechanistic classification.