Article
Genome modelling and design across all domains of life with Evo 2.
Nature - 1 Apr 2026
Brixi Garyk, Durrant Matthew G, Ku Jerome, Naghipourfar Mohsen, Poli Michael, Sun Gwanggyu, Brockman Greg, Chang Daniel, Fanton Alison, Gonzalez Gabriel A, King Samuel H, Li David B, Merchant Aditi T, Nguyen Eric, Ricci-Tam Chiara, Romero David W, Schmok Jonathan C, Taghibakhshi Ali, Vorontsov Anton, Yang Brandon, Deng Myra, Gorton Liv, Nguyen Nam, Wang Nicholas K, Pearce Michael T, Simon Elana, Adams Etowah, Amador Zachary J, Ashley Euan A, Baccus Stephen A, Dai Haoyu, Dillmann Steven, Ermon Stefano, Guo Daniel, Herschl Michael H, Ilango Rajesh, Janik Ken, Lu Amy X, Mehta Reshma, Mofrad Mohammad R K, Ng Madelena Y, Pannu Jaspreet, Ré Christopher, St John John, Sullivan Jeremy, Tey Joseph, Viggiano Ben, Zhu Kevin, Zynda Greg, Balsam Daniel, Collison Patrick, Costa Anthony B, Hernandez-Boussard Tina, Ho Eric, Liu Ming-Yu, McGrath Thomas, Powell Kimberly, Pinglay Sudarshan, Burke Dave P, Goodarzi Hani, Hsu Patrick D, Hie Brian L
Abstract excerpt
All of life encodes information with DNA. Although tools for genome sequencing, synthesis and editing have transformed biological research, we still lack sufficient understanding of the immense complexity encoded by genomes to predict the effects of many classes of genomic changes or to intelligently compose new biological systems. Artificial intelligence models that learn information from genomic sequences...
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