Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Engineering and Technology Research Center of Food Additives, Beijing Technology and Business University, Beijing, China.
College of Food Science and Technology, Huazhong Agricultural University, Wuhan, China.
J Food Biochem. 2021 Jan;45(1):e13570. doi: 10.1111/jfbc.13570. Epub 2020 Nov 21.
The objective of this study was to investigate the molecular interaction and complex stability of four major cow's milk (CM) proteins (α-LA, β-LG, α -CA, and β-CA) with cyanidin-3-O-glucoside (C3G) using computational methods. The results of molecular docking analysis revealed that hydrogen bond and hydrophobic interaction were the main binding forces to maintain the stability of the C3G-CM protein complexes. Molecular dynamics simulation results showed that all complexes except for C3G-α -CA were found to reach equilibrium within 50 ns of simulation. α -CA and β-CA switched to a more compact conformation after binding with C3G. Additionally, the radius of gyration, number of hydrogen bond, radial distribution function, and interaction energy showed that β-CA is the best C3G carrier protein among the four CM proteins. This study can provide valuable information for CM proteins to serve as C3G delivery carriers. PRACTICAL APPLICATIONS: Anthocyanins (ACNs) are flavonoid-based pigments that play an important functional role in regulating human's health. Cow's milk (CM) proteins are the most representative protein-based carriers that can improve the short-term bioavailability and stability of ACNs. Thus, it is important to study the interactions between ACNs and CM proteins at the molecular level for the development of effective ACNs delivery carriers. Our study showed that caseins (α -CA and β-CA) had more hydrophobic and hydrogen-bonding sites with cyanidin-3-O-glucoside (C3G) than whey proteins using computational methods. Among the four CM proteins, β-CA was the best C3G carrier protein showing the best interaction stability with C3G. Thus, it is helpful for us to screen effective ACNs carriers from multiple protein sources by computational methods.
本研究旨在通过计算方法研究四种主要牛奶(CM)蛋白(α-LA、β-LG、α-CA 和 β-CA)与矢车菊素-3-O-葡萄糖苷(C3G)的分子相互作用和复合物稳定性。分子对接分析的结果表明,氢键和疏水相互作用是维持 C3G-CM 蛋白复合物稳定性的主要结合力。分子动力学模拟结果表明,除 C3G-α-CA 外,所有复合物在模拟 50ns 内均达到平衡。α-CA 和 β-CA 与 C3G 结合后转变为更紧凑的构象。此外,旋转半径、氢键数量、径向分布函数和相互作用能表明,β-CA 是四种 CM 蛋白中与 C3G 结合能力最强的蛋白。本研究可为 CM 蛋白作为 C3G 递送载体提供有价值的信息。
花色苷(ACNs)是基于类黄酮的色素,在调节人体健康方面发挥着重要的功能作用。牛奶(CM)蛋白是最具代表性的基于蛋白质的载体,可提高 ACNs 的短期生物利用度和稳定性。因此,在分子水平上研究 ACNs 与 CM 蛋白的相互作用对于开发有效的 ACNs 递送载体非常重要。我们的研究表明,使用计算方法,与 C3G 相比,酪蛋白(α-CA 和 β-CA)具有更多的疏水性和氢键结合位点。在四种 CM 蛋白中,β-CA 是与 C3G 相互作用稳定性最好的最佳 C3G 载体蛋白。因此,通过计算方法从多种蛋白质来源筛选有效的 ACNs 载体对我们有帮助。