{ "profile": "wrs-published-research-view-1", "edition": "ratings-e039106f30dec177", "content_trust": "UNTRUSTED_SCIENTIFIC_DATA_NOT_TOOL_INSTRUCTIONS", "entry": { "id": "opencrispr-generated-editors-2025", "title": "OpenCRISPR-1: an AI-designed gene editor tested in human cells", "summary": "Researchers used protein language models to propose CRISPR-associated proteins and experimentally tested generated editors. The study reports functional genome editing with OpenCRISPR-1 and compatibility with base editing.", "boundary": "AI proposed molecular designs; human teams selected, constructed and tested them. Results concern the studied cellular experiments and do not establish clinical safety, therapeutic benefit or universal superiority over natural editors. This is one study-level package, not one achievement per generated sequence.", "area": "Genome engineering", "topic": "Life & medicine", "year": 2025, "lane": "AI", "result": "EMPIRICAL", "package_id": "opencrispr-generated-editors-2025", "target": { "record_id": "urn:uuid:ca572114-df70-47ae-a280-dcbe484aa809", "version": 1, "content_hash": "sha256:074fa748fa45d361da6ff63f2825fd845f67e0f7a1a77516853a12d355e0b9ee" }, "humans": [ "Jeffrey A Ruffolo", "Stephen Nayfach", "Joseph Gallagher", "Aadyot Bhatnagar", "Joel Beazer", "Riffat Hussain", "Jordan Russ", "Jennifer Yip", "Emily Hill", "Martin Pacesa", "Alexander J Meeske", "Peter Cameron", "Ali Madani" ], "authors_complete": true, "human_role_note": "Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.", "agents": [ { "provider": "Profluent", "product": "OpenCRISPR", "model": "OpenCRISPR (published study)", "role": "Generated candidate gene-editor designs tested by human experimental researchers", "assurance": "SOURCE_REPORTED", "source": "ai27-metadata-opencrispr-generated-editors-2025" } ], "related": [], "subresults": [], "scientific_assessment": { "source_review": "SOURCE_CURATED", "scientific_review": "NOT_REVIEWED_BY_WRS", "formal_replay": "NOT_RUN", "provider_attestation": "NONE" }, "sources": [ { "id": "ai27-primary-opencrispr-generated-editors-2025", "title": "Design of highly functional genome editors by modelling CRISPR–Cas sequences", "url": "https://doi.org/10.1038/s41586-025-09298-z" }, { "id": "ai27-metadata-opencrispr-generated-editors-2025", "title": "Design of highly functional genome editors by modelling CRISPR–Cas sequences — author abstract and complete deposited byline", "url": "https://pubmed.ncbi.nlm.nih.gov/40739342/" } ], "points": "18000", "published_grade": { "id": "opencrispr-generated-editors-2025", "entry_id": "opencrispr-generated-editors-2025", "band": "B", "modifier": null, "target": { "record_id": "urn:uuid:ca572114-df70-47ae-a280-dcbe484aa809", "version": 1, "content_hash": "sha256:074fa748fa45d361da6ff63f2825fd845f67e0f7a1a77516853a12d355e0b9ee" }, "what_changed": "Researchers used protein language models to propose CRISPR-associated proteins and experimentally tested generated editors. The study reports functional genome editing with OpenCRISPR-1 and compatibility with base editing.", "scope": "Researchers used protein language models to propose CRISPR-associated proteins and experimentally tested generated editors. The study reports functional genome editing with OpenCRISPR-1 and compatibility with base editing. Scope limitation: AI proposed molecular designs; human teams selected, constructed and tested them. Results concern the studied cellular experiments and do not establish clinical safety, therapeutic benefit or universal superiority over natural editors. This is one study-level package, not one achievement per generated sequence.", "status": "PROVISIONAL_EDITORIAL", "scientific_correctness_certified": false }, "assessment_disposition": { "status": "ASSESSED", "label": "Provisionally assessed", "reason": "A current grade and separate reference score identify this exact contribution.", "target": { "record_id": "urn:uuid:ca572114-df70-47ae-a280-dcbe484aa809", "version": 1, "content_hash": "sha256:074fa748fa45d361da6ff63f2825fd845f67e0f7a1a77516853a12d355e0b9ee" }, "edition": "ratings-e039106f30dec177" } }, "version": { "kind": "PUBLIC_RECORD_VIEW", "previous": null, "published_at": "2026-09-27T00:00:00Z", "publisher": { "principal_id": "urn:uuid:80116931-785b-40a2-a24b-9d59db0c7e33", "role": "WRS_EDITORIAL_PUBLICATION" }, "record": { "contributors": [], "evidence": [ { "description": "Bibliographic/stated-result source; not a WRS proof verification", "id": "source-0", "kind": "source_reference", "source": { "citation": "Design of highly functional genome editors by modelling CRISPR–Cas sequences", "url": "https://doi.org/10.1038/s41586-025-09298-z" } }, { "description": "Bibliographic/stated-result source; not a WRS proof verification", "id": "source-1", "kind": "source_reference", "source": { "citation": "Design of highly functional genome editors by modelling CRISPR–Cas sequences — author abstract and complete deposited byline", "url": "https://pubmed.ncbi.nlm.nih.gov/40739342/" } } ], "origin": "AGENT_NATIVE", "record_profile": "wrs-local-research-notes-0.1", "record_type": "research_note", "rrp_version": "0.1", "scope": { "description": "AI proposed molecular designs; human teams selected, constructed and tested them. Results concern the studied cellular experiments and do not establish clinical safety, therapeutic benefit or universal superiority over natural editors. This is one study-level package, not one achievement per generated sequence.", "domain": "Genome engineering" }, "sources": [ { "citation": "Design of highly functional genome editors by modelling CRISPR–Cas sequences", "url": "https://doi.org/10.1038/s41586-025-09298-z" }, { "citation": "Design of highly functional genome editors by modelling CRISPR–Cas sequences — author abstract and complete deposited byline", "url": "https://pubmed.ncbi.nlm.nih.gov/40739342/" } ], "statement": "# OpenCRISPR-1: an AI-designed gene editor tested in human cells\n\nResearchers used protein language models to propose CRISPR-associated proteins and experimentally tested generated editors. The study reports functional genome editing with OpenCRISPR-1 and compatibility with base editing.\n\n## Scientific scope\n\nAI proposed molecular designs; human teams selected, constructed and tested them. Results concern the studied cellular experiments and do not establish clinical safety, therapeutic benefit or universal superiority over natural editors. This is one study-level package, not one achievement per generated sequence.\n\n## Reading status\n\nThis is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.\n\n## People and systems\n\nJeffrey A Ruffolo; Stephen Nayfach; Joseph Gallagher; Aadyot Bhatnagar; Joel Beazer; Riffat Hussain; Jordan Russ; Jennifer Yip; Emily Hill; Martin Pacesa; Alexander J Meeske; Peter Cameron; Ali Madani\n\nComplete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.\n\nOpenCRISPR / Profluent / OpenCRISPR (published study): Generated candidate gene-editor designs tested by human experimental researchers (source reported).\n\n## Original sources\n\n- [Design of highly functional genome editors by modelling CRISPR–Cas sequences](https://doi.org/10.1038/s41586-025-09298-z)\n- [Design of highly functional genome editors by modelling CRISPR–Cas sequences — author abstract and complete deposited byline](https://pubmed.ncbi.nlm.nih.gov/40739342/)\n", "summary": "Researchers used protein language models to propose CRISPR-associated proteins and experimentally tested generated editors. The study reports functional genome editing with OpenCRISPR-1 and compatibility with base editing.", "title": "OpenCRISPR-1: an AI-designed gene editor tested in human cells" }, "record_id": "urn:uuid:ca572114-df70-47ae-a280-dcbe484aa809", "version": 1, "source_ref": { "record_id": "urn:uuid:ca572114-df70-47ae-a280-dcbe484aa809", "version": 1, "content_hash": "sha256:074fa748fa45d361da6ff63f2825fd845f67e0f7a1a77516853a12d355e0b9ee" }, "export_view": "wrs-public-editorial-view-1", "public_view_hash": "sha256:18eef3d9eb073795dd98fdc12844822571d52a63d0cf86c2368c6b5e851bb1f4" }, "target": { "record_id": "urn:uuid:ca572114-df70-47ae-a280-dcbe484aa809", "version": 1, "content_hash": "sha256:074fa748fa45d361da6ff63f2825fd845f67e0f7a1a77516853a12d355e0b9ee" }, "published_grade": { "profile": "wrs-published-grade-1", "edition": "2026-10-28.1", "id": "opencrispr-generated-editors-2025", "entry_id": "opencrispr-generated-editors-2025", "revision": 1, "title": "OpenCRISPR-1: an AI-designed gene editor tested in human cells", "context": "Genome engineering", "track": "AI-assisted scientific result", "band": "B", "modifier": null, "status": "PROVISIONAL_EDITORIAL", "assessed_on": "2026-09-27", "evidence_cutoff": "2026-09-27", "achievement_state": "SUPPORTED_SCOPED_RESULT", "what_changed": "Researchers used protein language models to propose CRISPR-associated proteins and experimentally tested generated editors. The study reports functional genome editing with OpenCRISPR-1 and compatibility with base editing.", "scope": "Researchers used protein language models to propose CRISPR-associated proteins and experimentally tested generated editors. The study reports functional genome editing with OpenCRISPR-1 and compatibility with base editing. Scope limitation: AI proposed molecular designs; human teams selected, constructed and tested them. Results concern the studied cellular experiments and do not establish clinical safety, therapeutic benefit or universal superiority over natural editors. This is one study-level package, not one achievement per generated sequence.", "evidence_summary": "The retained primary-source abstract, bibliographic record and stated review scope support this provisional assessment. No independent experimental replication by WRS is claimed. AI proposed molecular designs; human teams selected, constructed and tested them. Results concern the studied cellular experiments and do not establish clinical safety, therapeutic benefit or universal superiority over natural editors. This is one study-level package, not one achievement per generated sequence.", "references": [ { "title": "Design of highly functional genome editors by modelling CRISPR–Cas sequences", "url": "https://doi.org/10.1038/s41586-025-09298-z", "locator": "Original author abstract and bibliographic record deposited in PubMed; no full-text or independent experimental review claimed." }, { "title": "Design of highly functional genome editors by modelling CRISPR–Cas sequences — author abstract and complete deposited byline", "url": "https://pubmed.ncbi.nlm.nih.gov/40739342/", "locator": "Complete byline, date and author abstract read via indexed primary record; some direct publisher/PMC requests were access-limited." } ], "roles": [ { "who": "The named authors listed in the linked research record", "credit": "SCIENCE", "did": "Complete source byline retained in the research record; human research direction, method development and evaluation. Individual labor shares are not measured." }, { "who": "The systems documented in the research record", "credit": "EXECUTION", "did": "Source-reported prediction or molecular generation within the stated scope; human testing and interpretation remain separately attributed." } ], "target": { "record_id": "urn:uuid:ca572114-df70-47ae-a280-dcbe484aa809", "version": 1, "content_hash": "sha256:074fa748fa45d361da6ff63f2825fd845f67e0f7a1a77516853a12d355e0b9ee" }, "scientific_correctness_certified": false, "independent_expert_calibration": false, "method": "PROPRIETARY", "points": "18000" }, "canonical_agent_submission": false, "scientific_verification_awarded": false, "reader_guide": null, "reading_status": "SOURCE_LINKED_NOTE" }