ProteinOPD: Towards Effective and Efficient Preference Alignment for Protein Design
Designing proteins with desired functions or properties represents a core goal in synthetic biology and drug discovery. Recent advances in protein language models (PLMs) have enabled the generation of highly designable protein sequences, while preference alignment provides a promising way to steer designs toward desired functions and properties. Nevertheless, they often trigger catastrophic forgetting of pretrained knowledge, degrading basic designability and failing to balance multiple competin
Record details
Published: 11 May 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Healthcare · Biotech
Retrieved: 14 July 2026
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ethics.ai (11 May 2026), “ProteinOPD: Towards Effective and Efficient Preference Alignment for Protein Design,” evidence record 4578, https://ethics.ai/record/4578 (originally published by arXiv).
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