Accurately predicting enzyme functions through geometric graph learning on ESMFold-predicted structures
Most Cited Paper
in Microbial Metabolic Engineering and Bioproduction
18 Months Post-Publication
Class of 2026
“Accurately predicting enzyme functions through geometric graph learning on ESMFold-predicted structures”
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Topics
Enzyme Commission (EC) number · GraphEC · geometric graph learning · ESMFold-predicted structures · protein language model · Enzyme function prediction · label diffusion algorithm · homology information · Enzyme function prediction · Biocatalysis · Enzyme function prediction · protein structure-function relationship · Synthetic biology · Enzyme function prediction
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Microbial Metabolic Engineering and Bioproduction Papers, Class of 2026. https://pri.pepkio.com/top-papers/microbial-metabolic-engineering-and-bioproduction/2026. Accessed 2026-07-29. Methodology 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