ADMETlab 3.0: an updated comprehensive online ADMET prediction platform enhanced with broader coverage, improved performance, API functionality and decision support
#3PRI RANKED
Most Cited Paper
in Computational Drug Discovery Methods
18 Months Post-Publication
Class of 2026
“ADMETlab 3.0: an updated comprehensive online ADMET prediction platform enhanced with broader coverage, improved performance, API functionality and decision support”
A research intelligence initiative by Pepkio
pri.pepkio.com/top-papers/computational-drug-discovery-methods/2026/
Topics
ADMET · ADMET · Physicochemical properties · medicinal chemistry · D-MPNN · Directed message-passing neural networks · Molecular descriptors · API functionality · uncertainty estimates · Drug discovery · absorption · distribution · metabolism · excretion · Toxicity prediction · Web server · candidate compound selection · Pharmacokinetics · In silico prediction
Share
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