Hierarchical Design of Pseudosymmetric Protein Nanocages

Academic Background Protein self-assembly is a ubiquitous phenomenon in biological systems, performing a wide range of functions from structural support to biochemical regulation. Despite significant progress in protein design in recent years, existing self-assembling protein structures typically rely on strict symmetry, which limits their size and...

A Conditional Protein Diffusion Model Generates Artificial Programmable Endonuclease Sequences with Enhanced Activity

A Conditional Protein Diffusion Model Generates Artificial Programmable Endonuclease Sequences with Enhanced Activity

Deep Learning-Driven Protein Design: Generating Functional Protein Sequences Using Conditional Diffusion Models Proteins are at the core of life sciences research and applications, offering countless possibilities due to their diversity and functional complexity. With advancements in deep learning technologies, protein design has reached a new pinn...