ArticleNature2026
Genome modelling and design across all domains of life with Evo 2.
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In one paragraph
Article in Nature, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 183 papers, 1 of them a synthesis that pooled it.
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0cells of the map it votes in
183citing papers in PubMed, 1 pooled it
–field-weighted citation impact
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
183 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Evolutionary dynamics and research hotspots of phage applications againstFrontiers in microbiology · 2026Pooled it
- AI-based multimodal integration of genomics and electronic health records.Nature reviews. Genetics · 2026Review
- Leveraging genomic deep learning models for the prediction of noncoding variant effects.Nature genetics · 2026Review
- Fast and accurate taxonomic domain assignment of short metagenomic reads using BBERT.Nucleic acids research · 2026Article
- DESIGN: a framework for generative AI-enabled crop molecular design-driven breeding.Science China. Life sciences · 2026Review
- TechBio 3.0 closes the drug discovery loop with multimodal AI and generative chemistry.npj drug discovery · 2026Review
- Shotgun engineering fires up mammalian metabolic design.Nature biotechnology · 2026Article
- Translating functional molecular knowledge into crop-breeding success.Nature reviews. Genetics · 2026Review
- From prompts to genomes: A constraint-first framework for AI-driven sequence design across life and viruses.PLoS computational biology · 2026Article
- A Generalizable Multimodal Model for Treatment-Stratified Risk and Survival Assessment under Real-World Constraints: A Multi-Center Study of Colorectal Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- EPIC: An open community challenge for sequence-based prediction of transcription initiation in five non-model metazoans.bioRxiv : the preprint server for biology · 2026Article
- GenART: Reading the genome's language with adaptive "words".Cell reports methods · 2026Article
- The power of theory in the life sciences.eLife · 2026Article
- An atlas of transcription factor cooperation reveals how motif readers shape regulatory output.bioRxiv : the preprint server for biology · 2026Article
- A noncontiguous code for RNA-guided DNA recognition at the origin of CRISPR-Cas.Science (New York, N.Y.) · 2026Article
- Genolator enables protein function interpretation using a multimodal large language model fusing genomic and structural interpretation with natural language interaction.Genome biology · 2026Article
- Decoding the cancer microbiome: multi-omics, AI, and translational opportunities.Genome biology · 2026Review
- Small Activating RNAs: A Curated Database and an Overview of Rational Design Principles.Molecules (Basel, Switzerland) · 2026Review
- Innovative Applications of Artificial Intelligence in Bacteriophage Research: A New Chapter in Future Medicine.Microorganisms · 2026Review
- Article
123 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
62 authors.
Garyk Brixi *Arc Institute, Palo Alto, CA, USA.ORCID http://orcid.org/0000-0002-1253-0522
Matthew G Durrant *Arc Institute, Palo Alto, CA, USA.
Jerome Ku *Arc Institute, Palo Alto, CA, USA.
Mohsen Naghipourfar *Arc Institute, Palo Alto, CA, USA.
Michael Poli *Evo 2 Core Team, Palo Alto, CA, USA.
Gwanggyu Sun *Arc Institute, Palo Alto, CA, USA.
Greg BrockmanEvo 2 Core Team, Palo Alto, CA, USA.
Daniel ChangArc Institute, Palo Alto, CA, USA.ORCID http://orcid.org/0000-0003-0076-2833
Alison FantonArc Institute, Palo Alto, CA, USA.
Gabriel A GonzalezArc Institute, Palo Alto, CA, USA.
Samuel H KingArc Institute, Palo Alto, CA, USA.ORCID http://orcid.org/0000-0002-1260-5045
David B LiArc Institute, Palo Alto, CA, USA.ORCID http://orcid.org/0000-0002-8921-5168
Aditi T MerchantArc Institute, Palo Alto, CA, USA.ORCID http://orcid.org/0000-0002-9465-1351
Eric NguyenEvo 2 Core Team, Palo Alto, CA, USA.
Chiara Ricci-TamArc Institute, Palo Alto, CA, USA.ORCID http://orcid.org/0000-0002-6549-1838
David W RomeroEvo 2 Core Team, Palo Alto, CA, USA.
Jonathan C SchmokArc Institute, Palo Alto, CA, USA.
Ali TaghibakhshiEvo 2 Core Team, Palo Alto, CA, USA.
Anton VorontsovEvo 2 Core Team, Palo Alto, CA, USA.
Brandon YangEvo 2 Core Team, Palo Alto, CA, USA.
Myra DengGoodfire, San Francisco, CA, USA.
Liv GortonGoodfire, San Francisco, CA, USA.ORCID http://orcid.org/0009-0009-7341-1517
Nam NguyenGoodfire, San Francisco, CA, USA.
Nicholas K WangGoodfire, San Francisco, CA, USA.ORCID http://orcid.org/0000-0003-1043-3072
Michael T PearceGoodfire, San Francisco, CA, USA.
Elana SimonGoodfire, San Francisco, CA, USA.
Etowah AdamsColumbia University, New York, NY, USA.
Zachary J AmadorUniversity of Washington, Seattle, WA, USA.
Euan A AshleyStanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-9418-9577
Stephen A BaccusStanford University, Stanford, CA, USA.
Haoyu DaiStanford University, Stanford, CA, USA.ORCID http://orcid.org/0009-0008-4920-6815
Steven DillmannStanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-4773-1463
Stefano ErmonStanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-0039-2887
Daniel GuoArc Institute, Palo Alto, CA, USA.
Michael H HerschlArc Institute, Palo Alto, CA, USA.
Rajesh IlangoArc Institute, Palo Alto, CA, USA.
Ken JanikNVIDIA, Santa Clara, CA, USA.
Amy X LuUniversity of California, Berkeley, Berkeley, CA, USA.ORCID http://orcid.org/0000-0002-6575-7165
Reshma MehtaArc Institute, Palo Alto, CA, USA.
Mohammad R K MofradUniversity of California, Berkeley, Berkeley, CA, USA.ORCID http://orcid.org/0000-0001-7004-4859
Madelena Y NgStanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-3824-9349
Jaspreet PannuJohns Hopkins University, Baltimore, MD, USA.
Christopher RéStanford University, Stanford, CA, USA.
John St JohnNVIDIA, Santa Clara, CA, USA.
Jeremy SullivanArc Institute, Palo Alto, CA, USA.
Joseph TeyArc Institute, Palo Alto, CA, USA.ORCID http://orcid.org/0009-0002-6825-646X
Ben ViggianoStanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-1510-7567
Kevin ZhuUniversity of California, Berkeley, Berkeley, CA, USA.
Greg ZyndaNVIDIA, Santa Clara, CA, USA.ORCID http://orcid.org/0000-0003-4992-9614
Daniel BalsamGoodfire, San Francisco, CA, USA.
Patrick CollisonArc Institute, Palo Alto, CA, USA.
Anthony B CostaNVIDIA, Santa Clara, CA, USA.
Tina Hernandez-BoussardStanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-6553-3455
Eric HoGoodfire, San Francisco, CA, USA.
Ming-Yu LiuNVIDIA, Santa Clara, CA, USA.
Thomas McGrathGoodfire, San Francisco, CA, USA.
Kimberly PowellNVIDIA, Santa Clara, CA, USA.
Sudarshan PinglayEvo 2 Core Team, Palo Alto, CA, USA.
Dave P BurkeArc Institute, Palo Alto, CA, USA.
Hani GoodarziArc Institute, Palo Alto, CA, USA.
Patrick D HsuArc Institute, Palo Alto, CA, USA. patrick@arcinstitute.org.ORCID http://orcid.org/0000-0002-9380-2648
Brian L HieArc Institute, Palo Alto, CA, USA. brianhie@stanford.edu.ORCID http://orcid.org/0000-0003-3224-8142
Funding
INSTITUTIONAL TRAINING GRANT IN GENOME SCIENCET32HG000044 · NHGRI · STANFORD UNIVERSITY · PI MICHAEL P. SNYDER · 1995 to 2026
$32.2MSupplement for Center for Synthetic Regulatory Genomics: Building CACNA1C alleles associated with Neuropsychiatric DisordersRM1HG009491 · NHGRI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Jef D BOEKE · 2018 to 2026
$20.9MDissecting the logic of mammalian gene regulation using synthetic biology and single-cell sequencingDP5OD036167 · OD · UNIVERSITY OF WASHINGTON · PI Sudarshan Pinglay · 2023 to 2026
$1.9MNHGRI NIH HHS RM1 HG009491NHGRI NIH HHS T32 HG000044NIH HHS DP5 OD036167
Abstract
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 across diverse organisms have increasingly advanced prediction and design capabilities
Indexed as
GenomeModels, GeneticAnimalsArtificial IntelligenceBinding SitesBRCA1 ProteinChromatinGenetic VariationGenomicsHumansMutationProkaryotic CellsBRCA1 ProteinChromatin
Identifiers
What OpenQuestion holds
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LicenceCC BY-NC-ND
Read underepoch 390
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.