Iqbal Muhammad Waleed, Ahmad Muneer, Shahab Muhammad, Sun Xinxiao, Baig Mudassar Mehmood, Yu Kun, Dawoud Turki M, Bourhia Mohammed, Dabiellil Fakhreldeen, Zheng Guojun, Yuan Qipeng
State Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, Beijing, 100029, People's Republic of China.
College of Medicine and Bioinformation Engineering, Northeastern University, Shenyang, 110819, People's Republic of China.
Sci Rep. 2025 Mar 26;15(1):10395. doi: 10.1038/s41598-025-92220-4.
Fucosyltransferase 2 (FUT2) gene has been extensively reported to play its role in potential gut microbiota changes and norovirus susceptibility. The normal activity of FUT2 has been found to be disrupted by non-synonymous single nucleotide polymorphisms (nsSNPs) in its gene. To explore the possible mutational changes and their deleterious effects, we employed state-of-the-art computational strategies. Firstly, nine widely-used bioinformatics tools were utilized for initial screening of possibly deleterious nsSNPs. Subsequently, the structural and functional effects of screened nsSNPs on FUT2 were evaluated by utilizing relevant computational tools. Following this, the two shortlisted nsSNPs, including G149S (rs200543547) and V196G (rs367923363), were further validated by their molecular docking with norovirus capsid protein, VP1. As compared to wild-type, the higher stability and lower binding energy scores of the both the mutants indicated their stable binding with VP1, which ultimately leads to norovirus implications. These docking results were further verified by a comprehensive computational approach, molecular dynamic simulation, which gave results in the form of lower RMSD, RMSF, RoG, and hydrogen bond values of both the mutants, depicted in relevant graphs. Overall, this research explores and validated the two FUT2 nsSNPs (G146S and V196G), which may possibly linked with the norovirus susceptibility and gut microbiota changes. Moreover, our findings highlights the value of computational strategies in mutational analysis and welcomes any further experimental validation.
岩藻糖基转移酶2(FUT2)基因在潜在的肠道微生物群变化和诺如病毒易感性中所起的作用已被广泛报道。已发现FUT2的正常活性会因该基因中的非同义单核苷酸多态性(nsSNPs)而受到破坏。为了探索可能的突变变化及其有害影响,我们采用了最先进的计算策略。首先,使用九种广泛使用的生物信息学工具对可能有害的nsSNPs进行初步筛选。随后,利用相关计算工具评估筛选出的nsSNPs对FUT2的结构和功能影响。在此之后,通过与诺如病毒衣壳蛋白VP1进行分子对接,对入围的两个nsSNPs,即G149S(rs200543547)和V196G(rs367923363)进行了进一步验证。与野生型相比,这两个突变体具有更高的稳定性和更低的结合能分数,表明它们与VP1的结合稳定,这最终导致诺如病毒感染。这些对接结果通过一种综合计算方法——分子动力学模拟得到了进一步验证,该模拟给出的结果显示两个突变体的均方根偏差(RMSD)、均方根波动(RMSF)、回转半径(RoG)和氢键值更低,并在相关图表中有所描绘。总体而言,本研究探索并验证了两个可能与诺如病毒易感性和肠道微生物群变化相关的FUT2 nsSNPs(G146S和V196G)。此外,我们的研究结果突出了计算策略在突变分析中的价值,并欢迎任何进一步的实验验证。