Artificial intelligence alphafold model for molecular biology and drug discovery: a machine-learning-driven informatics investigation
Most Cited Paper
in Computational Drug Discovery Methods
18 Months Post-Publication
Class of 2026
“Artificial intelligence alphafold model for molecular biology and drug discovery: a machine-learning-driven informatics investigation”
A research intelligence initiative by Pepkio
pri.pepkio.com/top-papers/computational-drug-discovery-methods/2026/
Topics
AlphaFold · Protein structure prediction · artificial intelligence · Drug discovery · Molecular dynamics simulation · scientometric analysis · machine-learning-driven informatics · unsupervised clustering algorithm · Walktrap algorithm · hotspot burst analysis · SARS-CoV-2 · COVID-19 · vaccine design · homology modeling · Virtual screening · membrane protein · structural biology · time series tracking · global impact assessment
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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