Assessing the role of evolutionary information for enhancing protein language model embeddings

Abstract Embeddings from protein Language Models (pLMs) are replacing evolutionary information from multiple sequence alignments (MSAs) as the most successful input for protein prediction. Is this because embeddings capture evolutionary information? We tested various approaches to explicitly incorpo...

書誌詳細
出版年:	Scientific Reports
主要な著者:	Kyra Erckert, Burkhard Rost
フォーマット:	論文
言語:	英語
出版事項:	Nature Portfolio 2024-09-01
主題:	Embeddings Machine learning Evolutionary information Protein language models Multiple sequence alignments Protein structure prediction
オンライン･アクセス:	https://doi.org/10.1038/s41598-024-71783-8

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