<ul data-eligibleForWebStory="true"><li>ProCALM (Protein Conditionally Adapted Language Model) is introduced as an approach for generating proteins with desired functions using adapters with protein language models.</li><li>Existing methods in protein language models for conditional generation are limited and lack generalization to unseen functions.</li><li>ProCALM utilizes adapters to facilitate the conditional generation of proteins based on versatile representations of protein function like enzyme family, taxonomy, or natural language descriptions.</li><li>The approach involves finetuning ProGen2 to enable generation conditioned on specific functions, showcasing improved performance compared to current methods.</li><li>ProCALM demonstrates the ability to generalize to rare and unseen functions, surpassing existing approaches in conditional sequence generation.</li><li>The method is highlighted for its flexibility, computational efficiency, and potential applicability to a broad array of generative language models.</li></ul>

Function-Guided Conditional Generation Using Protein Language Models with Adapters

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