A. Punjani

3D Flexible Refinement: Structure and Motion of Flexible Proteins from Cryo-EM

This paper introduces 3DFlex, a deep learning model that recovers continuous motion and 3D structures of flexible proteins from cryo-EM data, preserving high-resolution details and resolving canonical maps more effectively than conventional methods.

3D Variability Analysis: Resolving continuous flexibility and discrete heterogeneity from single particle cryo-EM

This paper introduces 3DVA, a method to model flexible proteins from cryo-EM data, revealing detailed molecular motions and conformational states in various complexes.

Non-uniform refinement: Adaptive regularization improves single particle cryo-EM reconstruction

This paper introduces non-uniform refinement, an adaptive regularization method for single particle cryo-EM that improves 3D reconstruction resolution and quality by accounting for spatial variability in macromolecular structures.