# Assessing antibody and nanobody nativeness for hit selection and humanization with AbNatiV

*PRI Rank #15 · 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-15*

| Field | Value |
| --- | --- |
| Rank | #15 |
| 18m citations | 44 |
| Journal | Nature Machine Intelligence |
| Year | 2024 |
| DOI | 10.1038/s42256-023-00778-3 |
| Corresponding authors | Pietro Sormanni |
| Institution | University of Cambridge, 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:** [10.1038/s42256-023-00778-3](https://doi.org/10.1038/s42256-023-00778-3)

## Topics

AbNatiV · nanobody nativeness scoring · deep learning antibody assessment · nanobody · nanobody · antibody humanization pipeline · Fv sequence prediction · immunogenicity likelihood prediction · residue-level nativeness profile · hit selection for therapeutics · Directed evolution · synthetic antibody libraries · computational antibody design · structural and residue-frequency humanization · binding and stability retention · monoclonal antibody · natural antibodies · webserver tool for antibody engineering

## 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
```