VFDB 2025: an integrated resource for exploring anti-virulence compounds
Most Cited Paper
in Computational Drug Discovery Methods
18 Months Post-Publication
Class of 2026
“VFDB 2025: an integrated resource for exploring anti-virulence compounds”
A research intelligence initiative by Pepkio
pri.pepkio.com/top-papers/computational-drug-discovery-methods/2026/
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
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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