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Deep learning as a generator of sodium channel state hypotheses
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DOI:10.1085/jgp.202513938.png)
Abstract
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Lopez-Mateos et al. show that AlphaFold 2 can generate structural ensembles of NaV channels and that beta-subunits and calmodulin reshape these ensembles, while emphasizing that these are testable structural hypotheses, not actual thermodynamic populations.
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