Multispectral and molecular dynamics study on the impact of trans, trans-2,4-decadienal and 4-hydroxy-2-nonenal on myoglobin redox stability
Abstract
This study investigated the interaction between myoglobin (Mb) and two lipid oxidation products, 4-hydroxy-2-nonenal (HNE) and trans, trans-2,4-decadienal (tt-DDE), at pH 5.6 and 7.4 through the combination of multispectral and molecular dynamics simulations. In this study, tt-DDE was more prone to promote Mb oxidation than HNE by loosening the Mb structure, which is associated with more destroyed secondary and tertiary structures. Furthermore, the pro-oxidation of both lipid products was stronger at pH 5.6 than at pH 7.4. The molecular docking revealed that both tt-DDE and HNE were combined closely with the heme group of Mb. And tt-DDE had hydrogen bonds, hydrophobic interactions, and van der Waals forces with Mb, but HNE only had hydrophobic interactions. In conclusion, it was firstly found that tt-DDE was also shown to have high activity in promoting Mb oxidation as another important aldehyde from lipid oxidation products.
Read the paper
Related studies
- Combining in silico and in vitro approaches to identification of potent inhibitor against phospholipase A2 (PLA2)
- In silico and in vitro studies: investigating the chemical composition, DFT, molecular docking, and dynamic simulation of Satureja candidissima (Munby) Briq essential oil as a potential antibacterial agent
- Quercetin combined with ciprofloxacin and gentamicin inhibits biofilm formation and virulence in Staphylococcus aureus
- In silico study of the mechanism of action, pharmacokinetic and toxicological properties of some N-methylanthranilates and their analogs
- Anticonvulsant Effects of Citronellal, Daidzin, and Phytol, Possibly Through GABAA Receptor and Voltage-Gated Sodium Channel Interaction Pathways: In Vivo and In Silico Studies
- 2-Phenylcyclopropylmethylamine (PCPMA) Derivatives as D3R-Selective Ligands for 3D-QSAR, Docking and Molecular Dynamics Simulation Studies
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.