Protein Design

The ability to expand the known universe of protein amino acid sequences, through de novo design or protein engineering, permits a wide array of possibilities: from optimizing the properties of existing proteins to creating proteins with new functions and structures, with broad biotechnological and therapeutic applicability. Recent advances in the area of protein design and engineering have been driven by the development of new computational methods (especially those based on artificial intelligence), along with high-throughput experimental techniques that make it possible to efficiently analyze proteins generated in silico.

In this context, LNBio’s Protein Design Group is dedicated to the development and application of computational methods, with a focus on training machine learning and deep learning models for de novo design and engineering of proteins of interest in health, especially those involved in immune recognition.