Pepti-drift: Toxicity-Repulsive Drifting for Antigen-Conditioned Discrete Peptide Generation
For therapeutic peptide discovery, Pepti-drift addresses the challenge of designing antigen-specific peptides with reduced toxicity, a key bottleneck in drug development.
Pepti-drift generates antigen-specific binding peptides while avoiding toxicity by learning to attract latents toward binding peptides and repel from toxicity regions in a single drift step. It outperforms baselines in generating non-toxic, high-affinity peptide candidates.
Peptides are a promising therapeutic modality that combine the chemical tunability of small molecules with the target specificity of macromolecular therapeutics. However, designing antigen-specific binding peptides while avoiding toxicity remains a major challenge for therapeutic peptide discovery. Here, we present Pepti-drift, a toxicity-aware latent refinement framework that generates peptide candidates through a single antigen-conditioned drift step. In a peptide embedding space, Pepti-drift learns to attract generated peptide latents toward antigen-matched binding peptides while repelling them from toxicity-associated regions. This is challenging because binding-promoting physicochemical features often overlap with toxicity-associated features in peptide representation space. To address this, we introduce a warm-up strategy to stabilize this competing objective by first learning binding-oriented attraction and then increasing toxicity repulsion.