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SurGBSA: learning representations from molecular dynamics simulations
SurGBSA combines molecular dynamics pretraining with fine-tuning on snapshot-level MMGBSA energies, enabled by a dataset of short MD simulations of docking poses. The MMGBSA fine-tuned models adapt to binding affinity and decoy pose ranking tasks. Protein–ligand interactions are inherently dynamic,
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