Maria V. Carreira
@MariaVCarreira
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PhD Student @MIT | ML in Structural Biology | BSc @ucl
Joined July 2019
RT @aipulserx: How can we effectively analyze the heterogeneity in cryo-EM volume ensembles without relying on atomic models?@CellPressNews….
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RT @jhdavislab: New work from our lab by the amazing @LaurelKinman, @MariaVCarreira, and @barrettmpowell here: Our….
biorxiv.org
Cryogenic electron microscopy (cryo-EM) has the potential to capture snapshots of proteins in motion and generate hypotheses linking conformational states to biological function. This potential has...
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RT @LaurelKinman: I’m excited to share our latest preprint, where we showcase the development of two computational tools to facilitate the….
biorxiv.org
Cryogenic electron microscopy (cryo-EM) has the potential to capture snapshots of proteins in motion and generate hypotheses linking conformational states to biological function. This potential has...
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RT @AGhanbarpour: Thrilled to share our preprint on the structure of a nautilus-like assembly of membrane proteins, HflK/C, that regulate t….
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RT @AlisonBiester: Read about an amazing new cryo-ET data processing tool developed by @barrettmpowell from the @jhdavislab! Check out my n….
nature.com
Nature Methods - TomoDRGN is a deep learning framework designed to model conformational and compositional heterogeneity from cryo-ET datasets on a per-particle basis.
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RT @jhdavislab: So excited to share that an expanded version of @barrettmpowell's #tomoDRGN manuscript is now live at @naturemethods - huge….
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RT @jhdavislab: I spent this Labor Day reflecting on how fortunate I am to work with such a fantastic group of graduate student workers and….
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