Property-driven Protein Inverse Folding With Multi-Objective Preference Alignment

Protein sequence design must balance designability, defined as the ability to recover a target backbone, with multiple, often competing, developability properties such as solubility, thermostability, and expression. Existing approaches address these properties through post hoc mutation, inference-time biasing, or retraining on property-specific subsets, yet they are target dependent and demand substantial domain expertise or careful hyperparameter tuning. In this paper, we introduce ProtAlign, a

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ethics.ai (6 March 2026), “Property-driven Protein Inverse Folding With Multi-Objective Preference Alignment,” evidence record 7606, https://ethics.ai/record/7606 (originally published by arXiv).

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