chroma
With a generative model that enables programmable protein structures, this method efficiently generates all-atom designs suitable for sequence generation. It incorporates diffusion modeling and equivariant neural networks to enhance flexibility and customization in addressing structural constraints. The approach supports the creation of large, complex structures on commodity GPUs, adapting to constraints like substructure and symmetry while allowing customization through user-defined conditioners.
