Papers with Protein Safety Knowledge Graph

1 papers
Enhancing Safe and Controllable Protein Generation via Knowledge Preference Optimization (2025.acl-long)

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Challenge: Protein language models pose significant risks of generating harmful sequences, e.g., viral transmissibility, drug resistance, environmental imbalances, public health crises, etc.
Approach: They propose a protein-based model that integrates prior knowledge via a Protein Safety Knowledge Graph to minimize the risk of generating harmful sequences.
Outcome: The proposed framework reduces the likelihood of producing hazardous sequences while maintaining high functionality.

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