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Showing 1–2 of 2 results
Advanced filters: Author: Andrea Guljas Clear advanced filters
  • The development of a universal protein coarse-grained model has been a long-standing challenge. A coarse-grained model with chemical transferability has now been developed by combining deep-learning methods with a large and diverse training set of all-atom protein simulations. The model can be used for extrapolative molecular dynamics on new sequences.

    • Nicholas E. Charron
    • Klara Bonneau
    • Cecilia Clementi
    ResearchOpen Access
    Nature Chemistry
    Volume: 17, P: 1284-1292
  • Here the authors report the AI system Umol that predicts flexible all-atom structures of protein-ligand complexes from sequence information, advancing AI-driven drug discovery: accurate structures and affinity can be selected from predicted confidence metrics (plDDT).

    • Patrick Bryant
    • Atharva Kelkar
    • Frank Noé
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-12