RFD4's physics-informed latent space trained via force-field backprop through TMol
AllThingsApx · x · 2026-10-22
The RFD4-Proteina team details its physics-informed latent space: training on synthetic PDB with glycan conformers and DFT small molecules from OMol, supervising the autoencoder with force-field backprop via TMol, a GPU-based physical scoring system from the Rosetta community.
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