Chamaileon: Cross-Context Binder Design with Contextualized Modeling and Mixed Sampling

A new arXiv paper introduces Chamaileon, a method for designing protein binders that works across different target contexts. The approach combines contextualized modeling with a mixed sampling strategy, building on recent generative techniques that jointly model protein sequence and structure. The authors position it as an alternative to existing end-to-end generation and hallucination-based pipelines, which they describe as limited in cross-context settings.