#molecular-simulation News & Analysis

2 articles tagged with #molecular-simulation. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · Jun 26/10

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Learning Implicit Bias in Generative Spaces for Accelerating Protein Dynamics Emulation

Researchers have developed a method to enhance generative AI models that simulate protein dynamics by introducing a history-dependent bias that steers sampling toward undiscovered molecular states. The technique achieves 37× faster coverage of low-energy protein configurations compared to standard approaches, significantly improving the practical utility of AI-accelerated molecular simulation.

AINeutralarXiv – CS AI · Mar 27/1012

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Representing local protein environments with atomistic foundation models

Researchers developed a novel method to represent local protein environments using atomistic foundation models (AFMs), creating embeddings that capture both structural and chemical features. The approach enables construction of data-driven priors for biomolecular environments and achieves state-of-the-art accuracy in physics-informed chemical shift prediction for NMR spectroscopy.