A learned implicit bias in generative protein emulators accelerates state coverage up to 37x faster on Fast-Folding proteins while increasing diversity by 35%.
Dynamic pdb: A new dataset and a se (3) model extension by integrating dynamic behaviors and physical properties in protein structures.arXiv preprint arXiv:2408.12413
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A review summarizing AI techniques for protein conformation generation, trajectory modeling, Boltzmann generators, machine learning potentials, and related challenges in scalability and physical consistency.
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Learning Implicit Bias in Generative Spaces for Accelerating Protein Dynamics Emulation
A learned implicit bias in generative protein emulators accelerates state coverage up to 37x faster on Fast-Folding proteins while increasing diversity by 35%.
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Learning Structure, Energy, and Dynamics: A Survey of Artificial Intelligence for Protein Dynamics
A review summarizing AI techniques for protein conformation generation, trajectory modeling, Boltzmann generators, machine learning potentials, and related challenges in scalability and physical consistency.