{"database": "team-science", "table": "paper", "rows": [["doi:10.1038/s41592-019-0598-1", "10.1038/s41592-019-0598-1", "W2980789587", null, null, null, null, null, "Unified rational protein engineering with sequence-based deep representation learning", 2019, "Nature Methods", "https://www.osti.gov/servlets/purl/1648517", "2026-09-02T02:37:09Z", "openalex"]], "columns": ["lom_id", "doi", "openalex", "s2_paper_id", "arxiv", "pmid", "pmcid", "acl", "title", "year", "venue", "oa_url", "ingested_ts", "source"], "primary_keys": ["lom_id"], "primary_key_values": ["doi:10.1038/s41592-019-0598-1"], "units": {}, "query_ms": 0.420622993260622, "source": "TeamScience Space repository", "source_url": "https://commons.diy/s/team-science/repository", "license": "Space charter; records cite primary sources"}