# Large scale paired antibody language models

*PRI Rank #9 · Topics and Trends in Most Cited Monoclonal and Polyclonal Antibodies Research Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/monoclonal-and-polyclonal-antibodies-research/2026/rank-9*

| Field | Value |
| --- | --- |
| Rank | #9 |
| 18m citations | 52 |
| Journal | PLoS Computational Biology |
| Year | 2024 |
| DOI | 10.1371/journal.pcbi.1012646 |
| Corresponding authors | Henry Kenlay, Frédéric A. Dreyer, Aleksandr Kovaltsuk, Dom Miketa, Douglas E. V. Pires, Charlotte M. Deane |
| Institution | Exscientia, United Kingdom |

**Ranking page:** [Topics and Trends in Most Cited Monoclonal and Polyclonal Antibodies Research Papers, Class of 2026](https://pri.pepkio.com/top-papers/monoclonal-and-polyclonal-antibodies-research/2026)

**Paper link:** [10.1371/journal.pcbi.1012646](https://doi.org/10.1371/journal.pcbi.1012646)

## Topics

IgBert · IgT5 · antibody language model · paired antibody sequences · unpaired antibody sequences · Observed Antibody Space dataset · antibody chains · antibody chains · next-generation sequencing · antibody engineering · protein language model · Biotherapeutics design · antigen specificity · antibody affinity · regression tasks for antibody properties · sequence design tasks · high-performance computing for machine learning · large-scale sequence datasets · variable region modeling · antibody discovery

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Monoclonal and Polyclonal Antibodies Research Papers, Class of 2026. https://pri.pepkio.com/top-papers/monoclonal-and-polyclonal-antibodies-research/2026. Accessed 2026-07-15.

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
```