# Addressing the antibody germline bias and its effect on language models for improved antibody design

*PRI Rank #13 · 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-13*

| Field | Value |
| --- | --- |
| Rank | #13 |
| 18m citations | 49 |
| Journal | Bioinformatics |
| Year | 2024 |
| DOI | 10.1093/bioinformatics/btae618 |
| Corresponding authors | Tobias H Olsen |
| Institution | University of Oxford, 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:** [10.1093/bioinformatics/btae618](https://doi.org/10.1093/bioinformatics/btae618)

## Topics

immunoglobulin germline genes · antibody language model · protein language model · V(D)J recombination · somatic hypermutation · somatic hypermutation · AbLang-2 · immunoglobulin germline genes · paired antibody sequences · unpaired antibody sequences · antibody variable domain · therapeutic antibody design · antibody developability · mutation suggestion for binding affinity · pre-training bias in language models · antibody language model

## 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
```