Scientists have developed DIProT, an innovative, user-friendly toolkit for protein design. The toolkit utilizes a non-autoregressive deep generative model to address the protein inverse folding problem, integrating human expertise into the design loop for efficient and effective protein design.
Scientists introduce DIProT—an interactive deep learning toolkit for efficient protein design
