Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences

Research article (Proceedings of the National Academy of Sciences, 2021) · cited 3,044× · AI/ML
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Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences

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Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences. Retrieved May 24, 2026, from https://4ort.xyz/entity/biological-structure-and-function-emerge-from-scaling-unsupervised-learning-to-250-million-protein-sequences
MLA “Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/biological-structure-and-function-emerge-from-scaling-unsupervised-learning-to-250-million-protein-sequences.
BibTeX @misc{4ortxyz_biological-structure-and-function-emerge-from-scaling-unsupervised-learning-to-250-million-protein-sequences_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences}}, year = {2026}, url = {https://4ort.xyz/entity/biological-structure-and-function-emerge-from-scaling-unsupervised-learning-to-250-million-protein-sequences}, note = {Accessed: 2026-05-24}}
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