Leveraging ancestral sequence reconstruction for protein representation learning

已完结 20 由 qy 发布于 2025/8/3 15:53:40

DOI:10.1038/s42256-024-00935-2
作者：D. S. Matthews,?M. A. Spence,?A. C. Mater,?J. Nichols,?S. B. Pulsford,?M. Sandhu,?J. A. Kaczmarski,?C. M. Miton,?N. Tokuriki,?C. J. Jackson
文献类型：期刊论文
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Abstract：Protein language models (PLMs) convert amino acid sequences into the numerical representations required to train machine learning models. Many PLMs are large (600 million parameters) and tra

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