The Performance of Different Water Models on the Structure and Function of Cytochrome P450 Enzymes

Modeling approaches and modern simulations to investigate the biomolecular structure and function rely on various methods. Since water molecules play a crucial role in all sorts of chemistry, the accurate modeling of water molecules is vital for such simulations. In cytochrome P450 (CYP450), in particular, water molecules play a key role in forming active oxidant that ultimately performs oxidation and metabolism. In the present study, we have highlighted the behavior of the three most widely used water modelsTIP3P, SPC/E, and OPCfor three different CYP450 enzymesCYP450BM3, CYP450OleT, and CYP450BSβduring MD simulations and QM/MM calculations. We studied the various properties, such as RMSD, RMSF, H-bond, water occupancy, and hydrogen atom transfer (HAT), using QM/MM calculations and compared them for all three water models. Our study shows that the stabilities of the enzyme complexes are well maintained in all three water models. However, the OPC water model performs well for the polar active sites, that is, in CYP450OleT and CYP450BSβ, while the TIP3P water model is superior for the hydrophobic site, such as CYP450BM3

Amyloidogenic Propensity of Metabolites in the Uric Acid Pathway and Urea Cycle Critically Impacts the Etiology of Metabolic Disorders

Novel insights into the etiology of metabolic disorders have recently been uncovered through the study of metabolite amyloids. In particular, inborn errors of metabolism (IEMs), including gout, Lesch–Nyhan syndrome (LNS), xanthinuria, citrullinemia, and hyperornithinemia–hyperammonemia–homocitrullinuria (HHH) syndrome, are attributed to the dysfunction of the urea cycle and uric acid pathway. In this study, we endeavored to understand and mechanistically characterize the aggregative property exhibited by the principal metabolites of the urea cycle and uric acid pathway, specifically hypoxanthine, xanthine, citrulline, and ornithine. Employing scanning electron microscopy (SEM), transmission electron microscopy (TEM), and atomic force microscopy (AFM), we studied the aggregation profiles of the metabolites. Insights obtained through molecular dynamics (MD) simulation underscore the vital roles of π–π stacking and hydrogen bonding interactions in the self-assembly process, and thioflavin T (ThT) assays further corroborate the amyloid nature of these metabolites. The in vitro MTT assay revealed the cytotoxic trait of these assemblies, a finding that was substantiated by in vivo assays employing the Caenorhabditis elegans (C. elegans) model, which revealed that the toxic effects were more pronounced and dose-specific in the case of metabolites that had aged via longer preincubation. We hence report a compelling phenomenon wherein these metabolites not only aggregate but transform into a soft, ordered assembly over time, eventually crystallizing upon extended incubation, leading to pathological implications. Our study suggests that the amyloidogenic nature of the involved metabolites could be a common etiological link in IEMs, potentially providing a unified perspective to study their pathophysiology, thus offering exciting insights into the development of targeted interventions for these metabolic disorders