Tag Biomolecules

Unlocking Protein Potential: How the REAP Algorithm Enhances Reinforcement Learning in Molecular Dynamics

In the complex world of molecular dynamics (MD) simulations, one major challenge researchers face is efficiently sampling protein conformational landscapes. Traditional methods can often be computationally intensive, usually struggling when it comes to large systems or long timescales. But what… Continue Reading →

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