CryoSampler fine-tunes Boltz-2 directly on cryo-EM maps to predict atomic conformational ensembles with higher accuracy than prior methods and shows early signs of generalizing to unseen sequences in the same protein family.
The landscape of machine learning approaches for modeling protein conformational ensembles.Current Opinion in Structural Biology, 98:103253
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Modeling Atomic Conformational Ensembles of Proteins via Test-Time Supervision of Boltz-2 on Cryo-EM Density Maps
CryoSampler fine-tunes Boltz-2 directly on cryo-EM maps to predict atomic conformational ensembles with higher accuracy than prior methods and shows early signs of generalizing to unseen sequences in the same protein family.