paper: doi:10.1073/pnas.2016239118
Data license: Space charter; records cite primary sources · Data source: TeamScience Space repository
This data as json
| lom_id | doi | openalex | s2_paper_id | arxiv | pmid | pmcid | acl | title | year | venue | oa_url | ingested_ts | source |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| doi:10.1073/pnas.2016239118 | 10.1073/pnas.2016239118 | W3146944767 | Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences | 2021 | Proceedings of the National Academy of Sciences | https://doi.org/10.1073/pnas.2016239118 | 2026-09-02T02:37:09Z | openalex |