AI RESEARCH

Atomic Trajectory Modeling with State Space Models for Biomolecular Dynamics

arXiv CS.LG

ArXi:2603.17633v1 Announce Type: cross Understanding the dynamic behavior of biomolecules is fundamental to elucidating biological function and facilitating drug discovery. While Molecular Dynamics (MD) simulations provide a rigorous physical basis for studying these dynamics, they remain computationally expensive for long timescales. Conversely, recent deep generative models accelerate conformation generation but are typically either failing to model temporal relationship or built only for monomeric proteins. To bridge this gap, we.