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Showing 1–3 of 3 results
Advanced filters: Author: Ali Punjani Clear advanced filters

  • 3D Flexible Refinement (3DFlex) is a generative neural network model for continuous molecular heterogeneity for cryo-EM data that can be used to determine the structure and motion of flexible biomolecules. It enables visualization of nonrigid motion and improves 3D structure resolution by aggregating information from particle images spanning the conformational landscape of the target molecule.

    • Ali Punjani
    • David J. Fleet
    ResearchOpen Access
    Nature Methods
    Volume: 20, P: 860-870

  • Membrane proteins exhibit spatial variation in rigidity and disorder, which poses a challenge for traditional cryo-EM reconstruction algorithms. Non-uniform refinement accounts for this spatial variability, yielding improved 3D reconstruction quality even for small membrane proteins.

    • Ali Punjani
    • Haowei Zhang
    • David J. Fleet
    Research
    Nature Methods
    Volume: 17, P: 1214-1221

  • A software tool, cryoSPARC, addresses the speed bottleneck in cryo-EM image processing, enabling automated macromolecular structure determination in hours on a desktop computer without requiring a starting model.

    • Ali Punjani
    • John L Rubinstein
    • Marcus A Brubaker
    Research
    Nature Methods
    Volume: 14, P: 290-296