Mechanistic Study
of Protein Interaction with Natto
Inhibitory Peptides Targeting Xanthine Oxidase: Insights from Machine
Learning and Molecular Dynamics Simulations
Posted on 2025-03-24 - 15:03
Bioactive peptides from food sources offer a safe and
biocompatible
approach to enzyme inhibition, with potential applications in managing
metabolic disorders such as hyperuricemia and gout, conditions linked
to excessive xanthine oxidase activity. Using a machine learning-based
screening approach inspired by the bioactivity of natto, two peptides,
ECFK and FECK, were identified from the Bacillus subtilis proteome and validated as xanthine oxidase inhibitors with IC50 values of 37.36 and 71.57 mM, respectively. Further experiments
confirmed their safety through cytotoxicity assays, and electronic
tongue analysis demonstrated their mild sensory properties, supporting
their edibility. Molecular dynamics simulations revealed that these
peptides stabilize critical enzyme regions, with ECFK showing a higher
dissociation energy barrier (52.08 kcal/mol) than FECK (46.39 kcal/mol),
indicating strong, stable interactions. This study highlights food-derived
peptides as safe and natural inhibitors of xanthine oxidase, offering
promising therapeutic potential for metabolic disorder management.
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Liu, Minghao; Wang, Kaiyu; Zhang, Yan; Zhou, Xue; Li, Wannan; Han, Weiwei (2025). Mechanistic Study
of Protein Interaction with Natto
Inhibitory Peptides Targeting Xanthine Oxidase: Insights from Machine
Learning and Molecular Dynamics Simulations. ACS Publications. Collection. https://doi.org/10.1021/acs.jcim.5c00126