Sequence modeling and design from molecular to genome scale with Evo

🏆 Top 10📊 OpenAlex

#1PRI RANKED

Most Cited Paper

in CRISPR and Genetic Engineering

18 Months Post-Publication

Class of 2026

“Sequence modeling and design from molecular to genome scale with Evo”

AuthorsEric Nguyen, Michael Poli, Matthew G Durrant, Brian Kang, Dhruva Katrekar, David B Li et al.

Eric Nguyen, Michael Poli, Matthew G. Durrant, Brian Kang, Dhruva Katrekar, David Li, Patrick D. Hsu, Brian Hie

JournalScience

Arc Institute

Citations369

DOI10.1126/science.ado9336

A research intelligence initiative by Pepkio

pri.pepkio.com/top-papers/crispr-and-genetic-engineering/2026/

Topics

Evo · long-context genomic foundation model · prokaryotic genomes · phage genomes · scaling laws on DNA · Zero-shot prediction · CRISPR-Cas system generation · transposon system generation · protein-RNA codesign · protein-DNA codesign · mutation effect prediction · whole-organism fitness · megabase-scale sequence generation · genomic architecture · cross-modality generalization · DNA language model · RNA language model · Protein language model

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Pepkio Research Index (PRI). Topics and Trends in Most Cited CRISPR and Genetic Engineering Papers, Class of 2026. https://pri.pepkio.com/top-papers/crispr-and-genetic-engineering/2026. Accessed 2026-07-21.

Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459