Automation in Peptide Synthesis and Testing

We operate an automated platform for solid-phase peptide synthesis and direct-to-biology functional testing. By coupling a peptide synthesizer with a liquid-handling robot and downstream assays, we generate structure–activity data at throughputs inaccessible to manual methods, accelerating the exploration of non-natural peptide space with cyclization, N-methylation, and non-canonical amino acids.

Innovations in Affinity-Selection MS

Affinity-selection mass spectrometry (AS-MS) lets us screen diverse peptide libraries against protein targets without purification, feeding results directly back to the models that design the next experiment. We push the method’s boundaries — increasing sensitivity, broadening compatible target classes, and developing new selection formats — to make AS-MS the cornerstone readout of our self-driving laboratory.

Target-Specific Antimicrobial Peptides

With antimicrobial resistance on the rise, we design peptides that selectively disrupt the membranes of pathogenic bacteria while sparing mammalian cells. Using high-throughput AS-MS screening and computational modeling, we identify sequences that balance potency, selectivity, and proteolytic stability — working toward next-generation antibiotics for drug-resistant infections.

Active Learning for Molecular Discovery

Rather than surveying chemical space uniformly, our self-driving laboratory uses active learning — Bayesian optimization and uncertainty-aware neural networks — to direct experiments toward the most informative molecules. Each round of AS-MS data sharpens the model, closing the design–make–test–learn loop and accelerating convergence on optimal peptide sequences.