# Rapid in silico directed evolution by a protein language model with EVOLVEpro

*PRI Rank #2 · Topics and Trends in Most Cited CRISPR and Genetic Engineering Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/crispr-and-genetic-engineering/2026/rank-2*

| Field | Value |
| --- | --- |
| Rank | #2 |
| 18m citations | 144 |
| Journal | Science |
| Year | 2024 |
| DOI | 10.1126/science.adr6006 |
| Corresponding authors | Kaiyi Jiang, Zhaoqing Yan, Matteo Di Bernardo, Jonathan S. Gootenberg, Omar O. Abudayyeh |
| Institution | Brigham and Women's Hospital, United States |

**Ranking page:** [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)

**Paper link:** [10.1126/science.adr6006](https://doi.org/10.1126/science.adr6006)

## Topics

EVOLVEpro · Protein language model · Directed evolution · few-shot active learning · Fitness landscape · multiproperty optimization · Zero-shot prediction · RNA production · Genome editing · antibody binding · regression models · AI-guided protein engineering · protein activity prediction · local maxima traps · AI-guided protein engineering

## Cite this ranking

```
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
```