DECAF: Genesis AI-Based Framework for Faster and Computationally Efficient All-Atom Protein Cofolding (opens in new tab)

The high computational cost of generating accurate atomic-level biomolecular structures remains a major challenge in AI-driven drug discovery. Researchers from Genesis Molecular AI, MIT, Carnegie Mellon University, and Imperial College London have developed DeCAF (Denoiser Cofolding All-Atom Flowmap), a framework that distills diffusion-based cofolding models into faster flow-based models capable of generating high-quality protein and […] The post appeared first on <a href="