What is recorded here?
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.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
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.
Read the original work
- Design of highly functional genome editors by modelling CRISPR–Cas sequences
- Design of highly functional genome editors by modelling CRISPR–Cas sequences — author abstract and complete deposited byline
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
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People and systems
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
Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.
OpenCRISPR · Profluent · OpenCRISPR (published study)
Generated candidate gene-editor designs tested by human experimental researchers. Source-reported attribution; provider attestation is unavailable.
Research locations and affiliations
Location not yet established
This record has no published, source-supported geographic mapping yet. Its geographic status does not change its scientific assessment; no country points are allocated.
English catalogue narrative
OpenCRISPR-1: an AI-designed gene editor tested in human cells
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.
Scientific scope
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.
Reading status
This 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.
People and systems
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
Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.
OpenCRISPR / Profluent / OpenCRISPR (published study): Generated candidate gene-editor designs tested by human experimental researchers (source reported).