Protein Manufacture: Protein Design Assisted by Machine Learning from Backbone to Sequence

The ability to design and synthesize proteins with specific functions holds great significance for drug development, drug delivery, targeted therapy, and materials science. With the advancement of deep learning technology, computational protein design has flourished. This approach allows for the design of amino acid sequences based on the desired protein function and structure, and can even generate proteins not found in nature. Deep learning algorithms can process large amounts of protein structure data and extract useful information to help scientists better understand protein expression and function, thereby accelerating the protein design process.