Protein structure prediction models are now capable of generating accurate 3D structural hypotheses from sequence alone. However, they routinely fail to capture the conformational diversity of dynamic biomolecular complexes, often requiring heuristic MSA subsampling approaches for generating alternative states. In parallel, cryo-electron microscopy (cryo-EM) has emerged as a powerful tool for imaging near-native structural heterogeneity, but is challenged by arduous pipelines to transform raw experimental data into atomic models. Here, we bridge the gap between these modalities, combining cryo-EM density maps with the rich sequence and biophysical priors learned by protein structure prediction models. Our method, CryoBoltz, guides the sampling trajectory of a pretrained biomolecular structure prediction model using both global and local structural constraints derived from density maps, driving predictions towards conformational states consistent with the experimental data. We demonstrate that this flexible yet powerful inferencetime approach allows us to build atomic models into heterogeneous cryo-EM maps across a variety of dynamic biomolecular systems including transporters and antibodies.

Summary: P-glycoprotein, a critical toxin pump in the body, has the ability to remove amyloid plaques from the brain. Researchers say increasing P-gp in the blood-brain barrier of those at risk for Alzheimer's could postpone or prevent the onset of the neurodegenerative disease. A team of SMU biological scientists has confirmed that P-glycoprotein (P-gp) has the ability to remove a toxin from the brain that is associated with Alzheimer's disease. The finding could lead to new treatments for the disease that affects nearly 6 million Americans. It was that hope that motivated lead researchers James W. McCormick and Lauren Ammerman to pursue the research as SMU graduate students after they both lost a grandmother to the disease while at SMU.