Generative AI-based Therapeutic Peptide Design

The research focus on "Artificial Intelligence-powered Functional Protein Design" integrates cutting-edge AI algorithms with advanced mass spectrometry technologies to accelerate the design and validation of therapeutic mini-proteins and peptides. This innovative approach combines highly sophisticated AI prediction models with state-of-the-art mass spectrometry techniques to rapidly develop stable and effective therapeutic molecules. The platform significantly enhances the efficiency of drug discovery by optimizing stability and membrane permeability of designed peptides, while also enabling the creation of mimic peptides that can effectively replace small molecule drugs. By leveraging AI for protein-protein interaction control and employing non-binding site protein inhibition techniques, this research opens new avenues for addressing challenging therapeutic targets, particularly in the realm of intractable diseases. The integration of AI prediction and mass spectrometry validation not only accelerates the drug development process but also provides a comprehensive understanding of protein structures, interactions, and functions, paving the way for more precise and effective therapeutic interventions.