MPEK: a multitask deep learning framework based on pretrained language models for enzymatic reaction kinetic parameters prediction
Most Cited Paper
in Microbial Metabolic Engineering and Bioproduction
18 Months Post-Publication
Class of 2026
“MPEK: a multitask deep learning framework based on pretrained language models for enzymatic reaction kinetic parameters prediction”
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Topics
Enzyme kinetics · Turnover number · Michaelis constant (Km) · multitask deep learning · pretrained language models · MPEK model · Enzyme function prediction · DLKcat · UniKP · Kroll_model · enzyme promiscuity · Enzyme function prediction · directed evolution · Enzyme engineering · pH and temperature modeling · organismal information integration · Pearson coefficient evaluation · Bioprocessing
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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