Dreamfold | Approach

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. We generate smart drugs that reprogram living cells to accomplish biological objectives while minimizing side effects. We use generative algorithms to design biological experiments at scale and navigate the complexity of human biology Our team is experienced in developing generative algorithms and has contributed influential papers in both generative flow networks and conditional flow matching. We also recently released FoldFlow — a series of generative algorithms that extend the flow-matching paradigm to SE(3) equivariant motions. FoldFlow-Base: The first simulation-free model over SE(3) FoldFlow-OT: Accelerates our base model with Riemannian optimal transport FoldFlow-SFM: Extends FoldFlow OT to stochastic flows This family of algorithms is more stable and faster to train comp

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. We generate smart drugs that reprogram living cells to accomplish biological objectives while minimizing side effects. We use generative algorithms to design biological experiments at scale and navigate the complexity of human biology Our team is experienced in developing generative algorithms and has contributed influential papers in both generative flow networks and conditional flow mat