Laboratory of Computational and Systems Biology, China Medical University, Taichung, Taiwan.
PLoS Comput Biol. 2011 Dec;7(12):e1002315. doi: 10.1371/journal.pcbi.1002315. Epub 2011 Dec 22.
The H1N1 influenza pandemic of 2009 has claimed over 18,000 lives. During this pandemic, development of drug resistance further complicated efforts to control and treat the widespread illness. This research utilizes traditional Chinese medicine Database@Taiwan (TCM Database@Taiwan) to screen for compounds that simultaneously target H1 and N1 to overcome current difficulties with virus mutations. The top three candidates were de novo derivatives of xylopine and rosmaricine. Bioactivity of the de novo derivatives against N1 were validated by multiple machine learning prediction models. Ability of the de novo compounds to maintain CoMFA/CoMSIA contour and form key interactions implied bioactivity within H1 as well. Addition of a pyridinium fragment was critical to form stable interactions in H1 and N1 as supported by molecular dynamics (MD) simulation. Results from MD, hydrophobic interactions, and torsion angles are consistent and support the findings of docking. Multiple anchors and lack of binding to residues prone to mutation suggest that the TCM de novo derivatives may be resistant to drug resistance and are advantageous over conventional H1N1 treatments such as oseltamivir. These results suggest that the TCM de novo derivatives may be suitable candidates of dual-targeting drugs for influenza.
2009 年的 H1N1 流感大流行已经导致超过 18000 人死亡。在这场大流行中,耐药性的发展进一步加剧了控制和治疗广泛传播疾病的难度。本研究利用中药数据库@台湾(TCM Database@Taiwan)筛选同时针对 H1 和 N1 的化合物,以克服当前病毒突变的困难。排名前三的候选药物是木兰花碱和迷迭香碱的从头衍生化合物。通过多种机器学习预测模型验证了新化合物对 N1 的生物活性。从头化合物在维持 CoMFA/CoMSIA 轮廓和形成关键相互作用方面的能力表明其在 H1 中也具有生物活性。正如分子动力学 (MD) 模拟所支持的那样,吡啶片段的添加对于在 H1 和 N1 中形成稳定的相互作用至关重要。MD、疏水性相互作用和扭转角的结果一致,支持对接的发现。多个锚点和不与易发生突变的残基结合表明,这些中药从头衍生化合物可能具有抗耐药性,并且优于奥司他韦等传统的 H1N1 治疗方法。这些结果表明,这些中药从头衍生化合物可能是流感双靶药物的合适候选药物。