Fine-tuning protein language models boosts predictions across diverse tasks

Prediction methods inputting embeddings from protein language models have reached or even surpassed state-of-the-art performance on many protein prediction tasks. In natural language processing fine-tuning large language models has become the de facto standard. In contrast, most protein language mod...

詳細記述

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書誌詳細
主要な著者: Robert Schmirler, Michael Heinzinger, Burkhard Rost
フォーマット: Artigo
言語:英語
出版事項: 2024
オンライン・アクセス:https://doi.org/10.1038/s41467-024-51844-2
https://www.nature.com/articles/s41467-024-51844-2.pdf
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