Adam-PnP guides a pre-trained protein diffusion model with multiple experimental data types, using online noise estimation and precision-based weighting, and reports a backbone RMSD of 0.65 Å on one protein.
It uniquely integrates multimodal likelihoods with a novel adaptive engine for noise estimation and weighting
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Adaptive Multimodal Protein Plug-and-Play with Diffusion-Based Priors
Adam-PnP guides a pre-trained protein diffusion model with multiple experimental data types, using online noise estimation and precision-based weighting, and reports a backbone RMSD of 0.65 Å on one protein.