# VFDB 2025: an integrated resource for exploring anti-virulence compounds

*PRI Rank #9 · Topics and Trends in Most Cited Computational Drug Discovery Methods Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/computational-drug-discovery-methods/2026/rank-9*

| Field | Value |
| --- | --- |
| Rank | #9 |
| 18m citations | 151 |
| Journal | Nucleic Acids Research |
| Year | 2024 |
| DOI | 10.1093/nar/gkae968 |
| Corresponding authors | Siyu Zhou |
| Institution | Chinese Academy of Medical Sciences & Peking Union Medical College, China |

**Ranking page:** [Topics and Trends in Most Cited Computational Drug Discovery Methods Papers, Class of 2026](https://pri.pepkio.com/top-papers/computational-drug-discovery-methods/2026)

**Paper link:** [10.1093/nar/gkae968](https://doi.org/10.1093/nar/gkae968)

## Topics

Anti-virulence therapy · Virulence factor · Multidrug resistance · Anti-virulence therapy · Virulence factor · Virulence factor · Drug repurposing · target selection · Literature mining · Chemical structure · molecular targets · Mechanism of action · bacterial pathogenesis · antibiotic resistance · selective pressure · antibacterial therapies

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Computational Drug Discovery Methods Papers, Class of 2026. https://pri.pepkio.com/top-papers/computational-drug-discovery-methods/2026. Accessed 2026-07-22.

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
```