使用机器学习和全原子MD模拟来利用天然多的潜力作为抗病毒药物,对抗水包膜蛋白F13
Madhusmita Rout1, Sarbani Mishra1, Suchanda Dey2
1Bioinformatics Division, ICMR-Regional Medical Research Centre, Nalco Square, Chandrasekharpur, Bhubaneswar, 751023, Odisha, India.
Computers in biology and medicine
|June 11, 2023
概括
研究人员确定了天然化合物Myricetin和Demethoxycurcumin作为水病毒F13蛋白的潜在抑制剂. 这一发现为开发新的抗病毒治疗方法提供了有前途的途径,以对抗麻疹.
科学领域:
- 病毒学 病毒学
- 计算化学计算化学
- 药物发现 药物发现 药物发现
背景情况:
- 麻疹 (MPX) 的重新出现构成了全球健康威胁.
- MPX F13包膜蛋白对于病毒颗粒的产生至关重要,也是潜在的药物标.
- 天然多醇显示出作为抗病毒剂的前景.
研究的目的:
- 使用机器学习预测MPX F13蛋白的3D结构.
- 为了识别F13蛋白的结合热点.
- 选天然多,以检测MPX的潜在抗病毒活性.
主要方法:
- 机器学习用于F13蛋白质结构预测.
- 57种天然多的高通量虚拟选.
- 所有原子的分子动力学 (MD) 模拟.
- 基于结构的虚拟选 (Glide SP,XP,MM/GBSA). 这是一个很好的方法.
主要成果:
- 预测F13蛋白的精确3D结构.
- 鉴定出六种强效的多,与F13具有很高的结合亲和力.
- 确定了用于识别多的关键残留物 (Glu143, Asp134, Asn345, Ser321, Tyr320).
- 鉴定出myricetin和demethoxycurcumin是化合物.
结论:
- 这项研究提供了关于F13-多相互作用的见解.
- 瑞和脱氧库尔库显示出作为MPX F13抑制剂的潜力.
- 需要进一步的体外和体内研究来验证.
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